Cactus Language
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The Cactus Patch
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Thus, what looks to us like a sphere of scientific knowledge more accurately should be represented as the inside of a highly irregular and spiky object, like a pincushion or porcupine, with very sharp extensions in certain directions, and virtually no knowledge in immediately adjacent areas. If our intellectual gaze could shift slightly, it would alter each quill's direction, and suddenly our entire reality would change. |
| — Herbert J. Bernstein, "Idols of Modern Science", [HJB, 38] |
In this and the four subsections that follow, I describe a calculus for representing propositions as sentences, in other words, as syntactically defined sequences of signs, and for manipulating these sentences chiefly in the light of their semantically defined contents, in other words, with respect to their logical values as propositions. In their computational representation, the expressions of this calculus parse into a class of tree-like data structures called painted cacti. This is a family of graph-theoretic data structures that can be observed to have especially nice properties, turning out to be not only useful from a computational standpoint but also quite interesting from a theoretical point of view. The rest of this subsection serves to motivate the development of this calculus and treats a number of general issues that surround the topic.
In order to facilitate the use of propositions as indicator functions it helps to acquire a flexible notation for referring to propositions in that light, for interpreting sentences in a corresponding role, and for negotiating the requirements of mutual sense between the two domains. If none of the formalisms that are readily available or in common use are able to meet all of the design requirements that come to mind, then it is necessary to contemplate the design of a new language that is especially tailored to the purpose. In the present application, there is a pressing need to devise a general calculus for composing propositions, computing their values on particular arguments, and inverting their indications to arrive at the sets of things in the universe that are indicated by them.
For computational purposes, it is convenient to have a middle ground or an intermediate language for negotiating between the koine of sentences regarded as strings of literal characters and the realm of propositions regarded as objects of logical value, even if this renders it necessary to introduce an artificial medium of exchange between these two domains. If one envisions these computations to be carried out in any organized fashion, and ultimately or partially by means of the familiar sorts of machines, then the strings that express these logical propositions are likely to find themselves parsed into tree-like data structures at some stage of the game. With regard to their abstract structures as graphs, there are several species of graph-theoretic data structures that can be used to accomplish this job in a reasonably effective and efficient way.
Over the course of this project, I plan to use two species of graphs:
- Painted And Rooted Cacti (PARCAI).
- Painted And Rooted Conifers (PARCOI).
For now, it is enough to discuss the former class of data structures, leaving the consideration of the latter class to a part of the project where their distinctive features are key to developments at that stage. Accordingly, within the context of the current patch of discussion, or until it becomes necessary to attach further notice to the conceivable varieties of parse graphs, the acronym "PARC" is sufficient to indicate the pertinent genus of abstract graphs that are under consideration.
By way of making these tasks feasible to carry out on a regular basis, a prospective language designer is required not only to supply a fluent medium for the expression of propositions, but further to accompany the assertions of their sentences with a canonical mechanism for teasing out the fibers of their indicator functions. Accordingly, with regard to a body of conceivable propositions, one needs to furnish a standard array of techniques for following the threads of their indications from their objective universe to their values for the mind and back again, that is, for tracing the clues that sentences provide from the universe of their objects to the signs of their values, and, in turn, from signs to objects. Ultimately, one seeks to render propositions so functional as indicators of sets and so essential for examining the equality of sets that they can constitute a veritable criterion for the practical conceivability of sets. Tackling this task requires me to introduce a number of new definitions and a collection of additional notational devices, to which I now turn.
Depending on whether a formal language is called by the type of sign that makes it up or whether it is named after the type of object that its signs are intended to denote, one may refer to this cactus language as a sentential calculus or as a propositional calculus, respectively.
When the syntactic definition of the language is well enough understood, then the language can begin to acquire a semantic function. In natural circumstances, the syntax and the semantics are likely to be engaged in a process of co-evolution, whether in ontogeny or in phylogeny, that is, the two developments probably form parallel sides of a single bootstrap. But this is not always the easiest way, at least, at first, to formally comprehend the nature of their action or the power of their interaction.
According to the customary mode of formal reconstruction, the language is first presented in terms of its syntax, in other words, as a formal language of strings called sentences, amounting to a particular subset of the possible strings that can be formed on a finite alphabet of signs. A syntactic definition of the cactus language, one that proceeds along purely formal lines, is carried out in the next Subsection. After that, the development of the language's more concrete aspects can be seen as a matter of defining two functions:
- The first is a function that takes each sentence of the language into a computational data structure, to be exact, a tree-like parse graph called a painted cactus.
- The second is a function that takes each sentence of the language, or its interpolated parse graph, into a logical proposition, in effect, ending up with an indicator function as the object denoted by the sentence.
The discussion of syntax brings up a number of associated issues that have to be clarified before going on. These are questions of style, that is, the sort of description, grammar, or theory that one finds available or chooses as preferable for a given language. These issues are discussed in the Subsection after next (Subsection 1.3.10.10).
There is an aspect of syntax that is so schematic in its basic character that it can be conveyed by computational data structures, so algorithmic in its uses that it can be automated by routine mechanisms, and so fixed in its nature that its practical exploitation can be served by the usual devices of computation. Because it involves the transformation of signs, it can be recognized as an aspect of semiotics. Since it can be carried out in abstraction from meaning, it is not up to the level of semantics, much less a complete pragmatics, though it does incline to the pragmatic aspects of computation that are auxiliary to and incidental to the human use of language. Therefore, I refer to this aspect of formal language use as the algorithmics or the mechanics of language processing. A mechanical conversion of the cactus language into its associated data structures is discussed in Subsection 1.3.10.11.
In the usual way of proceeding on formal grounds, meaning is added by giving each grammatical sentence, or each syntactically distinguished string, an interpretation as a logically meaningful sentence, in effect, equipping or providing each abstractly well-formed sentence with a logical proposition for it to denote. A semantic interpretation of the cactus language is carried out in Subsection 1.3.10.12.
The Cactus Language : Syntax
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Picture two different configurations of such an irregular shape, superimposed on each other in space, like a double exposure photograph. Of the two images, the only part which coincides is the body. The two different sets of quills stick out into very different regions of space. The objective reality we see from within the first position, seemingly so full and spherical, actually agrees with the shifted reality only in the body of common knowledge. In every direction in which we look at all deeply, the realm of discovered scientific truth could be quite different. Yet in each of those two different situations, we would have thought the world complete, firmly known, and rather round in its penetration of the space of possible knowledge. |
| — Herbert J. Bernstein, "Idols of Modern Science", [HJB, 38] |
In this Subsection, I describe the syntax of a family of formal languages that I intend to use as a sentential calculus, and thus to interpret for the purpose of reasoning about propositions and their logical relations. In order to carry out the discussion, I need a way of referring to signs as if they were objects like any others, in other words, as the sorts of things that are subject to being named, indicated, described, discussed, and renamed if necessary, that can be placed, arranged, and rearranged within a suitable medium of expression, or else manipulated in the mind, that can be articulated and decomposed into their elementary signs, and that can be strung together in sequences to form complex signs. Signs that have signs as their objects are called higher order signs, and this is a topic that demands an apt formalization, but in due time. The present discussion requires a quicker way to get into this subject, even if it takes informal means that cannot be made absolutely precise.
As a temporary notation, let the relationship between a particular sign \(s\!\) and a particular object \(o\!\), namely, the fact that \(s\!\) denotes \(o\!\) or the fact that \(o\!\) is denoted by \(s\!\), be symbolized in one of the following two ways:
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\(\begin{array}{lccc} 1. & s & \rightarrow & o \\ \\ 2. & o & \leftarrow & s \\ \end{array}\) |
Now consider the following paradigm:
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\(\begin{array}{llccc} 1. & \operatorname{If} & ^{\backprime\backprime}\operatorname{A}^{\prime\prime} & \rightarrow & \operatorname{Ann}, \\ & \operatorname{that~is}, & ^{\backprime\backprime}\operatorname{A}^{\prime\prime} & \operatorname{denotes} & \operatorname{Ann}, \\ & \operatorname{then} & \operatorname{A} & = & \operatorname{Ann} \\ & \operatorname{and} & \operatorname{Ann} & = & \operatorname{A}. \\ & \operatorname{Thus} & ^{\backprime\backprime}\operatorname{Ann}^{\prime\prime} & \rightarrow & \operatorname{A}, \\ & \operatorname{that~is}, & ^{\backprime\backprime}\operatorname{Ann}^{\prime\prime} & \operatorname{denotes} & \operatorname{A}. \\ \end{array}\) |
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\(\begin{array}{llccc} 2. & \operatorname{If} & \operatorname{Bob} & \leftarrow & ^{\backprime\backprime}\operatorname{B}^{\prime\prime}, \\ & \operatorname{that~is}, & \operatorname{Bob} & \operatorname{is~denoted~by} & ^{\backprime\backprime}\operatorname{B}^{\prime\prime}, \\ & \operatorname{then} & \operatorname{Bob} & = & \operatorname{B} \\ & \operatorname{and} & \operatorname{B} & = & \operatorname{Bob}. \\ & \operatorname{Thus} & \operatorname{B} & \leftarrow & ^{\backprime\backprime}\operatorname{Bob}^{\prime\prime}, \\ & \operatorname{that~is}, & \operatorname{B} & \operatorname{is~denoted~by} & ^{\backprime\backprime}\operatorname{Bob}^{\prime\prime}. \\ \end{array}\) |
When I say that the sign "blank" denotes the sign " ", it means that the string of characters inside the first pair of quotation marks can be used as another name for the string of characters inside the second pair of quotes. In other words, "blank" is a higher order sign whose object is " ", and the string of five characters inside the first pair of quotation marks is a sign at a higher level of signification than the string of one character inside the second pair of quotation marks. This relationship can be abbreviated in either one of the following ways:
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\(\begin{array}{lll} ^{\backprime\backprime}\operatorname{~}^{\prime\prime} & \leftarrow & ^{\backprime\backprime}\operatorname{blank}^{\prime\prime} \\ \\ ^{\backprime\backprime}\operatorname{blank}^{\prime\prime} & \rightarrow & ^{\backprime\backprime}\operatorname{~}^{\prime\prime} \\ \end{array}\) |
Using the raised dot "\(\cdot\)" as a sign to mark the articulation of a quoted string into a sequence of possibly shorter quoted strings, and thus to mark the concatenation of a sequence of quoted strings into a possibly larger quoted string, one can write:
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\(\begin{array}{lllll} ^{\backprime\backprime}\operatorname{~}^{\prime\prime} & \leftarrow & ^{\backprime\backprime}\operatorname{blank}^{\prime\prime} & = & ^{\backprime\backprime}\operatorname{b}^{\prime\prime} \cdot\, ^{\backprime\backprime}\operatorname{l}^{\prime\prime} \cdot\, ^{\backprime\backprime}\operatorname{a}^{\prime\prime} \cdot\, ^{\backprime\backprime}\operatorname{n}^{\prime\prime} \cdot\, ^{\backprime\backprime}\operatorname{k}^{\prime\prime} \\ \end{array}\) |
This usage allows us to refer to the blank as a type of character, and also to refer any blank we choose as a token of this type, referring to either of them in a marked way, but without the use of quotation marks, as I just did. Now, since a blank is just what the name "blank" names, it is possible to represent the denotation of the sign " " by the name "blank" in the form of an identity between the named objects, thus:
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\(\begin{array}{lll} ^{\backprime\backprime}\operatorname{~}^{\prime\prime} & = & \operatorname{blank} \\ \end{array}\) |
With these kinds of identity in mind, it is possible to extend the use of the "\(\cdot\)" sign to mark the articulation of either named or quoted strings into both named and quoted strings. For example:
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\(\begin{array}{lclcl} ^{\backprime\backprime}\operatorname{~~}^{\prime\prime} & = & ^{\backprime\backprime}\operatorname{~}^{\prime\prime} \cdot\, ^{\backprime\backprime}\operatorname{~}^{\prime\prime} & = & \operatorname{blank} \cdot\, \operatorname{blank} \\ \\ ^{\backprime\backprime}\operatorname{~blank}^{\prime\prime} & = & ^{\backprime\backprime}\operatorname{~}^{\prime\prime} \cdot\, ^{\backprime\backprime}\operatorname{blank}^{\prime\prime} & = & \operatorname{blank} \cdot\, ^{\backprime\backprime}\operatorname{blank}^{\prime\prime} \\ \\ ^{\backprime\backprime}\operatorname{blank~}^{\prime\prime} & = & ^{\backprime\backprime}\operatorname{blank}^{\prime\prime} \cdot\, ^{\backprime\backprime}\operatorname{~}^{\prime\prime} & = & ^{\backprime\backprime}\operatorname{blank}^{\prime\prime} \cdot\, \operatorname{blank} \end{array}\) |
A few definitions from formal language theory are required at this point.
An alphabet is a finite set of signs, typically, \(\mathfrak{A} = \{ \mathfrak{a}_1, \ldots, \mathfrak{a}_n \}.\)
A string over an alphabet \(\mathfrak{A}\) is a finite sequence of signs from \(\mathfrak{A}.\)
The length of a string is just its length as a sequence of signs.
The empty string is the unique sequence of length 0. It is sometimes denoted by an empty pair of quotation marks, \(^{\backprime\backprime\prime\prime},\) but more often by the Greek symbols epsilon or lambda.
A sequence of length \(k > 0\!\) is typically presented in the concatenated forms:
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\(s_1 s_2 \ldots s_{k-1} s_k\!\) |
or
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\(s_1 \cdot s_2 \cdot \ldots \cdot s_{k-1} \cdot s_k\) |
with \(s_j \in \mathfrak{A}\) for all \(j = 1 \ldots k.\)
Two alternative notations are often useful:
- !e! = @e@ = "" = the empty string.
- %e% = {!e!} = {""} = the language consisting of a single empty string.
The "kleene star" !A!* of alphabet !A! is the set of all strings over !A!. In particular, !A!* includes among its elements the empty string !e!.
The "surplus" !A!^+ of an alphabet !A! is the set of all positive length strings over !A!, in other words, everything in !A!* but the empty string.
A "formal language" !L! over an alphabet !A! is a subset !L! c !A!*. If z is a string over !A! and if z is an element of !L!, then it is customary to call z a "sentence" of !L!. Thus, a formal language !L! is defined by specifying its elements, which amounts to saying what it means to be a sentence of !L!.
One last device turns out to be useful in this connection. If z is a string that ends with a sign t, then z · t^-1 is the string that results by "deleting" from z the terminal t.
In this context, I make the following distinction:
- To delete an appearance of a sign is to replace it with an appearance of the empty string "".
- To erase an appearance of a sign is to replace it with an appearance of the blank symbol " ".
A token is a particular appearance of a sign.
The informal mechanisms that have been illustrated in the immediately preceding discussion are enough to equip the rest of this discussion with a moderately exact description of the so-called cactus language that I intend to use in both my conceptual and my computational representations of the minimal formal logical system that is variously known to sundry communities of interpretation as propositional logic, sentential calculus, or more inclusively, zeroth order logic (ZOL).
The painted cactus language !C! is actually a parameterized family of languages, consisting of one language !C!(!P!) for each set !P! of paints.
The alphabet !A! = !M! |_| !P! is the disjoint union of two sets of symbols:
1. !M! is the alphabet of "measures", the set of "punctuation marks",
or the collection of "syntactic constants" that is common to all
of the languages !C!(!P!). This set of signs is given as follows:
!M! = {m_1, m_2, m_3, m_4}
= {" ", "-(", ",", ")-"}
= {blank, links, comma, right}.
2. !P! is the "palette", the alphabet of "paints", or the collection
of "syntactic variables" that is peculiar to the language !C!(!P!).
This set of signs is given as follows:
!P! = {p_j : j in J}.
The easiest way to define the language !C!(!P!) is to indicate the general sorts
of operations that suffice to construct the greater share of its sentences from
the specified few of its sentences that require a special election. In accord
with this manner of proceeding, I introduce a family of operations on strings
of !A!* that are called "syntactic connectives". If the strings on which
they operate are exclusively sentences of !C!(!P!), then these operations
are tantamount to "sentential connectives", and if the syntactic sentences,
considered as abstract strings of meaningless signs, are given a semantics
in which they denote propositions, considered as indicator functions over
some universe, then these operations amount to "propositional connectives".
Rather than presenting the most concise description of these languages
right from the beginning, it serves comprehension to develop a picture
of their forms in gradual stages, starting from the most natural ways
of viewing their elements, if somewhat at a distance, and working
through the most easily grasped impressions of their structures,
if not always the sharpest acquaintances with their details.
The first step is to define two sets of basic operations on strings of !A!*.
1. The "concatenation" of one string z_1 is just the string z_1.
The "concatenation" of two strings z_1, z_2 is the string z_1 · z_2.
The "concatenation" of the k strings z_j, for j = 1 to k,
is the string of the form z_1 · ... · z_k.
2. The "surcatenation" of one string z_1 is the string "-(" · z_1 · ")-".
The "surcatenation" of two strings z_1, z_2 is "-(" · z_1 · "," · z_2 · ")-".
The "surcatenation" of k strings z_j, for j = 1 to k,
is the string of the form "-(" · z_1 · "," · ... · "," · z_k · ")-".
These definitions can be made a little more succinct by
defining the following sorts of generic operators on strings:
1. The "concatenation" Conc^k of the k strings z_j,
for j = 1 to k, is defined recursively as follows:
a. Conc^1_j z_j = z_1.
b. For k > 1,
Conc^k_j z_j = (Conc^(k-1)_j z_j) · z_k.
2. The "surcatenation" Surc^k of the k strings z_j,
for j = 1 to k, is defined recursively as follows:
a. Surc^1_j z_j = "-(" · z_1 · ")-".
b. For k > 1,
Surc^k_j z_j = (Surc^(k-1)_j z_j) · ")-"^(-1) · "," · z_k · ")-".
The definitions of these syntactic operations can now be organized in a slightly
better fashion, for both conceptual and computational purposes, by making a few
additional conventions and auxiliary definitions.
1. The conception of the k-place concatenation operation
can be extended to include its natural "prequel":
Conc^0 = "" = the empty string.
Next, the construction of the k-place concatenation can be
broken into stages by means of the following conceptions:
a. The "precatenation" Prec(z_1, z_2) of the two strings
z_1, z_2 is the string that is defined as follows:
Prec(z_1, z_2) = z_1 · z_2.
b. The "concatenation" of the k strings z_1, ..., z_k can now be
defined as an iterated precatenation over the sequence of k+1
strings that begins with the string z_0 = Conc^0 = "" and then
continues on through the other k strings:
i. Conc^0_j z_j = Conc^0 = "".
ii. For k > 0,
Conc^k_j z_j = Prec(Conc^(k-1)_j z_j, z_k).
2. The conception of the k-place surcatenation operation
can be extended to include its natural "prequel":
Surc^0 = "-()-".
Finally, the construction of the k-place surcatenation can be
broken into stages by means of the following conceptions:
a. A "subclause" in !A!* is a string that ends with a ")-".
b. The "subcatenation" Subc(z_1, z_2)
of a subclause z_1 by a string z_2 is
the string that is defined as follows:
Subc(z_1, z_2) = z_1 · ")-"^(-1) · "," · z_2 · ")-".
c. The "surcatenation" of the k strings z_1, ..., z_k can now be
defined as an iterated subcatenation over the sequence of k+1
strings that starts with the string z_0 = Surc^0 = "-()-" and
then continues on through the other k strings:
i. Surc^0_j z_j = Surc^0 = "-()-".
ii. For k > 0,
Surc^k_j z_j = Subc(Surc^(k-1)_j z_j, z_k).
Notice that the expressions Conc^0_j z_j and Surc^0_j z_j
are defined in such a way that the respective operators
Conc^0 and Surc^0 basically "ignore", in the manner of
constants, whatever sequences of strings z_j may be
listed as their ostensible arguments.
Having defined the basic operations of concatenation and surcatenation
on arbitrary strings, in effect, giving them operational meaning for
the all-inclusive language !L! = !A!*, it is time to adjoin the
notion of a more discriminating grammaticality, in other words,
a more properly restrictive concept of a sentence.
If !L! is an arbitrary formal language over an alphabet of the sort that
we are talking about, that is, an alphabet of the form !A! = !M! |_| !P!,
then there are a number of basic structural relations that can be defined
on the strings of !L!.
1. z is the "concatenation" of z_1 and z_2 in !L! if and only if
z_1 is a sentence of !L!, z_2 is a sentence of !L!, and
z = z_1 · z_2.
2. z is the "concatenation" of the k strings z1, ..., z_k in !L!,
if and only if z_j is a sentence of !L!, for all j = 1 to k, and
z = Conc^k_j z_j = z_1 · ... · z_k.
3. z is the "discatenation" of z_1 by t if and only if
z_1 is a sentence of !L!, t is an element of !A!, and
z_1 = z · t.
When this is the case, one more commonly writes:
z = z_1 · t^-1.
4. z is a "subclause" of !L! if and only if
z is a sentence of !L! and z ends with a ")-".
5. z is the "subcatenation" of z_1 by z_2 if and only if
z_1 is a subclause of !L!, z_2 is a sentence of !L!, and
z = z_1 · ")-"^(-1) · "," · z_2 · ")-".
6. z is the "surcatenation" of the k strings z_1, ..., z_k in !L!,
if and only if z_j is a sentence of !L!, for all j = 1 to k, and
z = Surc^k_j z_j = "-(" · z_1 · "," · ... · "," · z_k · ")-".
The converses of these decomposition relations are tantamount to the
corresponding forms of composition operations, making it possible for
these complementary forms of analysis and synthesis to articulate the
structures of strings and sentences in two directions.
The "painted cactus language" with paints in the
set !P! = {p_j : j in J} is the formal language
!L! = !C!(!P!) c !A!* = (!M! |_| !P!)* that is
defined as follows:
PC 1. The blank symbol m_1 is a sentence.
PC 2. The paint p_j is a sentence, for each j in J.
PC 3. Conc^0 and Surc^0 are sentences.
PC 4. For each positive integer k,
if z_1, ..., z_k are sentences,
then Conc^k_j z_j is a sentence,
and Surc^k_j z_j is a sentence.
As usual, saying that z is a sentence is just a conventional way of
stating that the string z belongs to the relevant formal language !L!.
An individual sentence of !C!(!P!), for any palette !P!, is referred to
as a "painted and rooted cactus expression" (PARCE) on the palette !P!,
or a "cactus expression", for short. Anticipating the forms that the
parse graphs of these PARCE's will take, to be described in the next
Subsection, the language !L! = !C!(!P!) is also described as the
set PARCE(!P!) of PARCE's on the palette !P!, more generically,
as the PARCE's that constitute the language PARCE.
A "bare" PARCE, a bit loosely referred to as a "bare cactus expression",
is a PARCE on the empty palette !P! = {}. A bare PARCE is a sentence
in the "bare cactus language", !C!^0 = !C!({}) = PARCE^0 = PARCE({}).
This set of strings, regarded as a formal language in its own right,
is a sublanguage of every cactus language !C!(!P!). A bare cactus
expression is commonly encountered in practice when one has occasion
to start with an arbitrary PARCE and then finds a reason to delete or
to erase all of its paints.
Only one thing remains to cast this description of the cactus language
into a form that is commonly found acceptable. As presently formulated,
the principle PC 4 appears to be attempting to define an infinite number
of new concepts all in a single step, at least, it appears to invoke the
indefinitely long sequences of operators, Conc^k and Surc^k, for all k > 0.
As a general rule, one prefers to have an effectively finite description of
conceptual objects, and this means restricting the description to a finite
number of schematic principles, each of which involves a finite number of
schematic effects, that is, a finite number of schemata that explicitly
relate conditions to results.
A start in this direction, taking steps toward an effective description
of the cactus language, a finitary conception of its membership conditions,
and a bounded characterization of a typical sentence in the language, can be
made by recasting the present description of these expressions into the pattern
of what is called, more or less roughly, a "formal grammar".
A notation in the style of "S :> T" is now introduced,
to be read among many others in this manifold of ways:
| S covers T
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| S governs T
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| S rules T
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| S subsumes T
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| S types over T
The form "S :> T" is here recruited for polymorphic
employment in at least the following types of roles:
1. To signify that an individually named or quoted string T is
being typed as a sentence S of the language of interest !L!.
2. To express the fact or to make the assertion that each member
of a specified set of strings T c !A!* also belongs to the
syntactic category S, the one that qualifies a string as
being a sentence in the relevant formal language !L!.
3. To specify the intension or to signify the intention that every
string that fits the conditions of the abstract type T must also
fall under the grammatical heading of a sentence, as indicated by
the type name "S", all within the target language !L!.
In these types of situation the letter "S", that signifies the type of
a sentence in the language of interest, is called the "initial symbol"
or the "sentence symbol" of a candidate formal grammar for the language,
while any number of letters like "T", signifying other types of strings
that are necessary to a reasonable account or a rational reconstruction
of the sentences that belong to the language, are collectively referred
to as "intermediate symbols".
Combining the singleton set {"S"} whose sole member is the initial symbol
with the set !Q! that assembles together all of the intermediate symbols
results in the set {"S"} |_| !Q! of "non-terminal symbols". Completing
the package, the alphabet !A! of the language is also known as the set
of "terminal symbols". In this discussion, I will adopt the convention
that !Q! is the set of intermediate symbols, but I will often use "q"
as a typical variable that ranges over all of the non-terminal symbols,
q in {"S"} |_| !Q!. Finally, it is convenient to refer to all of the
symbols in {"S"} |_| !Q! |_| !A! as the "augmented alphabet" of the
prospective grammar for the language, and accordingly to describe
the strings in ({"S"} |_| !Q! |_| !A!)* as the "augmented strings",
in effect, expressing the forms that are superimposed on a language
by one of its conceivable grammars. In certain settings is becomes
desirable to separate the augmented strings that contain the symbol
"S" from all other sorts of augmented strings. In these situations,
the strings in the disjoint union {"S"} |_| (!Q! |_| !A!)* are known
as the "sentential forms" of the associated grammar.
In forming a grammar for a language, statements of the form W :> W',
where W and W' are augmented strings or sentential forms of specified
types that depend on the style of the grammar that is being sought, are
variously known as "characterizations", "covering rules", "productions",
"rewrite rules", "subsumptions", "transformations", or "typing rules".
These are collected together into a set !K! that serves to complete
the definition of the formal grammar in question.
Correlative with the use of this notation, an expression of the
form "T <: S", read as "T is covered by S", can be interpreted
as saying that T is of the type S. Depending on the context,
this can be taken in either one of two ways:
1. Treating "T" as a string variable, it means
that the individual string T is typed as S.
2. Treating "T" as a type name, it means that any
instance of the type T also falls under the type S.
In accordance with these interpretations, an expression like "t <: T" can be
read in all of the ways that one typically reads an expression like "t : T".
There are several abuses of notation that commonly tolerated in the use
of covering relations. The worst offense is that of allowing symbols to
stand equivocally either for individual strings or else for their types.
There is a measure of consistency to this practice, considering the fact
that perfectly individual entities are rarely if ever grasped by means of
signs and finite expressions, which entails that every appearance of an
apparent token is only a type of more particular tokens, and meaning in
the end that there is never any recourse but to the sort of discerning
interpretation that can decide just how each sign is intended. In view
of all this, I continue to permit expressions like "t <: T" and "T <: S",
where any of the symbols "t", "T", "S" can be taken to signify either the
tokens or the subtypes of their covering types.
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
The combined effect of several typos in my typography
along with what may be a lack of faith in imagination,
obliges me to redo a couple of paragraphs from before.
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
A notation in the style of "S :> T" is now introduced,
to be read among many others in this manifold of ways:
| S covers T
|
| S governs T
|
| S rules T
|
| S subsumes T
|
| S types over T
The form "S :> T" is here recruited for polymorphic
employment in at least the following types of roles:
1. To signify that an individually named or quoted string T is
being typed as a sentence S of the language of interest !L!.
2. To express the fact or to make the assertion that each member
of a specified set of strings T c !A!* also belongs to the
syntactic category S, the one that qualifies a string as
being a sentence in the relevant formal language !L!.
3. To specify the intension or to signify the intention that every
string that fits the conditions of the abstract type T must also
fall under the grammatical heading of a sentence, as indicated by
the type name "S", all within the target language !L!.
In these types of situation the letter "S", that signifies the type of
a sentence in the language of interest, is called the "initial symbol"
or the "sentence symbol" of a candidate formal grammar for the language,
while any number of letters like "T", signifying other types of strings
that are necessary to a reasonable account or a rational reconstruction
of the sentences that belong to the language, are collectively referred
to as "intermediate symbols".
Combining the singleton set {"S"} whose sole member is the initial symbol
with the set !Q! that assembles together all of the intermediate symbols
results in the set {"S"} |_| !Q! of "non-terminal symbols". Completing
the package, the alphabet !A! of the language is also known as the set
of "terminal symbols". In this discussion, I will adopt the convention
that !Q! is the set of intermediate symbols, but I will often use "q"
as a typical variable that ranges over all of the non-terminal symbols,
q in {"S"} |_| !Q!. Finally, it is convenient to refer to all of the
symbols in {"S"} |_| !Q! |_| !A! as the "augmented alphabet" of the
prospective grammar for the language, and accordingly to describe
the strings in ({"S"} |_| !Q! |_| !A!)* as the "augmented strings",
in effect, expressing the forms that are superimposed on a language
by one of its conceivable grammars. In certain settings is becomes
desirable to separate the augmented strings that contain the symbol
"S" from all other sorts of augmented strings. In these situations,
the strings in the disjoint union {"S"} |_| (!Q! |_| !A!)* are known
as the "sentential forms" of the associated grammar.
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
For some time to come in the discussion that follows,
although I will continue to focus on the cactus language
as my principal object example, my more general purpose will
be to develop and to demonstrate the subject materials and the
technical methodology of the theory of formal languages and grammars.
I will do this by taking up a particular method of "stepwise refinement"
and using it to extract a rigorous formal grammar for the cactus language,
starting with little more than a rough description of the target language
and applying a systematic analysis to develop a sequence of increasingly
more effective and more exact approximations to the desired grammar.
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
Employing the notion of a covering relation it becomes possible to
redescribe the cactus language !L! = !C!(!P!) in the following way.
Grammar 1 is something of a misnomer. It is nowhere near exemplifying
any kind of a standard form and it is only intended as a starting point
for the initiation of more respectable grammars. Such as it is, it uses
the terminal alphabet !A! = !M! |_| !P! that comes with the territory of
the cactus language !C!(!P!), it specifies !Q! = {}, in other words, it
employs no intermediate symbols, and it embodies the "covering set" !K!
as listed in the following display.
| !C!(!P!). Grammar 1
|
| !Q! = {}
|
| 1. S :> m_1 = " "
|
| 2. S :> p_j, for each j in J
|
| 3. S :> Conc^0 = ""
|
| 4. S :> Surc^0 = "-()-"
|
| 5. S :> S*
|
| 6. S :> "-(" · S · ("," · S)* · ")-"
In this formulation, the last two lines specify that:
5. The concept of a sentence in !L! covers any
concatenation of sentences in !L!, in effect,
any number of freely chosen sentences that are
available to be concatenated one after another.
6. The concept of a sentence in !L! covers any
surcatenation of sentences in !L!, in effect,
any string that opens with a "-(", continues
with a sentence, possibly empty, follows with
a finite number of phrases of the form "," · S,
and closes with a ")-".
This appears to be just about the most concise description
of the cactus language !C!(!P!) that one can imagine, but
there exist a couple of problems that are commonly felt
to afflict this style of presentation and to make it
less than completely acceptable. Briefly stated,
these problems turn on the following properties
of the presentation:
1. The invocation of the kleene star operation
is not reduced to a manifestly finitary form.
2. The type of a sentence S is allowed to cover
not only itself but also the empty string.
I will discuss these issues at first in general, and especially in regard to
how the two features interact with one another, and then I return to address
in further detail the questions that they engender on their individual bases.
In the process of developing a grammar for a language, it is possible
to notice a number of organizational, pragmatic, and stylistic questions,
whose moment to moment answers appear to decide the ongoing direction of the
grammar that develops and the impact of whose considerations work in tandem
to determine, or at least to influence, the sort of grammar that turns out.
The issues that I can see arising at this point I can give the following
prospective names, putting off the discussion of their natures and the
treatment of their details to the points in the development of the
present example where they evolve their full import.
1. The "degree of intermediate organization" in a grammar.
2. The "distinction between empty and significant strings", and thus
the "distinction between empty and significant types of strings".
3. The "principle of intermediate significance". This is a constraint
on the grammar that arises from considering the interaction of the
first two issues.
In responding to these issues, it is advisable at first to proceed in
a stepwise fashion, all the better thereby to accommodate the chances
of pursuing a series of parallel developments in the grammar, to allow
for the possibility of reversing many steps in its development, indeed,
to take into account the near certain necessity of having to revisit,
to revise, and to reverse many decisions about how to proceed toward
an optimal description or a satisfactory grammar for the language.
Doing all this means exploring the effects of various alterations
and innovations as independently from each other as possible.
The degree of intermediate organization in a grammar is measured by how many
intermediate symbols it has and by how they interact with each other by means
of its productions. With respect to this issue, Grammar 1 has no intermediate
symbols at all, !Q! = {}, and therefore remains at an ostensibly trivial degree
of intermediate organization. Some additions to the list of intermediate symbols
are practically obligatory in order to arrive at any reasonable grammar at all,
other inclusions appear to have a more optional character, though obviously
useful from the standpoints of clarity and ease of comprehension.
One of the troubles that is perceived to affect Grammar 1 is that it wastes
so much of the available potential for efficient description in recounting
over and over again the simple fact that the empty string is present in
the language. This arises in part from the statement that S :> S*,
which implies that:
S :> S* = %e% |_| S |_| S · S |_| S · S · S |_| ...
There is nothing wrong with the more expansive pan of the covered equation,
since it follows straightforwardly from the definition of the kleene star
operation, but the covering statement, to the effect that S :> S*, is not
necessarily a very productive piece of information, to the extent that it
does always tell us very much about the language that is being supposed to
fall under the type of a sentence S. In particular, since it implies that
S :> %e%, and since %e%·!L! = !L!·%e% = !L!, for any formal language !L!,
the empty string !e! = "" is counted over and over in every term of the union,
and every non-empty sentence under S appears again and again in every term of
the union that follows the initial appearance of S. As a result, this style
of characterization has to be classified as "true but not very informative".
If at all possible, one prefers to partition the language of interest into
a disjoint union of subsets, thereby accounting for each sentence under
its proper term, and one whose place under the sum serves as a useful
parameter of its character or its complexity. In general, this form
of description is not always possible to achieve, but it is usually
worth the trouble to actualize it whenever it is.
Suppose that one tries to deal with this problem by eliminating each use of
the kleene star operation, by reducing it to a purely finitary set of steps,
or by finding an alternative way to cover the sublanguage that it is used to
generate. This amounts, in effect, to "recognizing a type", a complex process
that involves the following steps:
1. Noticing a category of strings that
is generated by iteration or recursion.
2. Acknowledging the circumstance that the noted category
of strings needs to be covered by a non-terminal symbol.
3. Making a note of it by declaring and instituting
an explicitly and even expressively named category.
In sum, one introduces a non-terminal symbol for each type of sentence and
each "part of speech" or sentential component that is generated by means of
iteration or recursion under the ruling constraints of the grammar. In order
to do this one needs to analyze the iteration of each grammatical operation in
a way that is analogous to a mathematically inductive definition, but further in
a way that is not forced explicitly to recognize a distinct and separate type of
expression merely to account for and to recount every increment in the parameter
of iteration.
Returning to the case of the cactus language, the process of recognizing an
iterative type or a recursive type can be illustrated in the following way.
The operative phrases in the simplest sort of recursive definition are its
initial part and its generic part. For the cactus language !C!(!P!), one
has the following definitions of concatenation as iterated precatenation
and of surcatenation as iterated subcatenation, respectively:
1. Conc^0 = "".
Conc^k_j S_j = Prec(Conc^(k-1)_j S_j, S_k).
2. Surc^0 = "-()-".
Surc^k_j S_j = Subc(Surc^(k-1)_j S_j, S_k).
In order to transform these recursive definitions into grammar rules,
one introduces a new pair of intermediate symbols, "Conc" and "Surc",
corresponding to the operations that share the same names but ignoring
the inflexions of their individual parameters j and k. Recognizing the
type of a sentence by means of the initial symbol "S", and interpreting
"Conc" and "Surc" as names for the types of strings that are generated
by concatenation and by surcatenation, respectively, one arrives at
the following transformation of the ruling operator definitions
into the form of covering grammar rules:
1. Conc :> "".
Conc :> Conc · S.
2. Surc :> "-()-".
Surc :> "-(" · S · ")-".
Surc :> Surc ")-"^(-1) · "," · S · ")-".
As given, this particular fragment of the intended grammar
contains a couple of features that are desirable to amend.
1. Given the covering S :> Conc, the covering rule Conc :> Conc · S
says no more than the covering rule Conc :> S · S. Consequently,
all of the information contained in these two covering rules is
already covered by the statement that S :> S · S.
2. A grammar rule that invokes a notion of decatenation, deletion, erasure,
or any other sort of retrograde production, is frequently considered to
be lacking in elegance, and a there is a style of critique for grammars
that holds it preferable to avoid these types of operations if it is at
all possible to do so. Accordingly, contingent on the prescriptions of
the informal rule in question, and pursuing the stylistic dictates that
are writ in the realm of its aesthetic regime, it becomes necessary for
us to backtrack a little bit, to temporarily withdraw the suggestion of
employing these elliptical types of operations, but without, of course,
eliding the record of doing so.
One way to analyze the surcatenation of any number of sentences is to
introduce an auxiliary type of string, not in general a sentence, but
a proper component of any sentence that is formed by surcatenation.
Doing this brings one to the following definition:
A "tract" is a concatenation of a finite sequence of sentences, with a
literal comma "," interpolated between each pair of adjacent sentences.
Thus, a typical tract T takes the form:
T = S_1 · "," · ... · "," · S_k.
A tract must be distinguished from the abstract sequence of sentences,
S_1, ..., S_k, where the commas that appear to come to mind, as if being
called up to separate the successive sentences of the sequence, remain as
partially abstract conceptions, or as signs that retain a disengaged status
on the borderline between the text and the mind. In effect, the types of
commas that appear to follow in the abstract sequence continue to exist
as conceptual abstractions and fail to be cognized in a wholly explicit
fashion, whether as concrete tokens in the object language, or as marks
in the strings of signs that are able to engage one's parsing attention.
Returning to the case of the painted cactus language !L! = !C!(!P!),
it is possible to put the currently assembled pieces of a grammar
together in the light of the presently adopted canons of style,
to arrive a more refined analysis of the fact that the concept
of a sentence covers any concatenation of sentences and any
surcatenation of sentences, and so to obtain the following
form of a grammar:
| !C!(!P!). Grammar 2
|
| !Q! = {"T"}
|
| 1. S :> !e!
|
| 2. S :> m_1
|
| 3. S :> p_j, for each j in J
|
| 4. S :> S · S
|
| 5. S :> "-(" · T · ")-"
|
| 6. T :> S
|
| 7. T :> T · "," · S
In this rendition, a string of type T is not in general
a sentence itself but a proper "part of speech", that is,
a strictly "lesser" component of a sentence in any suitable
ordering of sentences and their components. In order to see
how the grammatical category T gets off the ground, that is,
to detect its minimal strings and to discover how its ensuing
generations gets started from these, it is useful to observe
that the covering rule T :> S means that T "inherits" all of
the initial conditions of S, namely, T :> !e!, m_1, p_j.
In accord with these simple beginnings it comes to parse
that the rule T :> T · "," · S, with the substitutions
T = !e! and S = !e! on the covered side of the rule,
bears the germinal implication that T :> ",".
Grammar 2 achieves a portion of its success through a higher degree of
intermediate organization. Roughly speaking, the level of organization
can be seen as reflected in the cardinality of the intermediate alphabet
!Q! = {"T"}, but it is clearly not explained by this simple circumstance
alone, since it is taken for granted that the intermediate symbols serve
a purpose, a purpose that is easily recognizable but that may not be so
easy to pin down and to specify exactly. Nevertheless, it is worth the
trouble of exploring this aspect of organization and this direction of
development a little further. Although it is not strictly necessary
to do so, it is possible to organize the materials of the present
grammar in a slightly better fashion by recognizing two recurrent
types of strings that appear in the typical cactus expression.
In doing this, one arrives at the following two definitions:
A "rune" is a string of blanks and paints concatenated together.
Thus, a typical rune R is a string over {m_1} |_| !P!, possibly
the empty string.
R in ({m_1} |_| !P!)*.
When there is no possibility of confusion, the letter "R" can be used
either as a string variable that ranges over the set of runes or else
as a type name for the class of runes. The latter reading amounts to
the enlistment of a fresh intermediate symbol, "R" in !Q!, as a part
of a new grammar for !C!(!P!). In effect, "R" affords a grammatical
recognition for any rune that forms a part of a sentence in !C!(!P!).
In situations where these variant usages are likely to be confused,
the types of strings can be indicated by means of expressions like
"r <: R" and "W <: R".
A "foil" is a string of the form "-(" · T · ")-", where T is a tract.
Thus, a typical foil F has the form:
F = "-(" · S_1 · "," · ... · "," · S_k · ")-".
This is just the surcatenation of the sentences S_1, ..., S_k.
Given the possibility that this sequence of sentences is empty,
and thus that the tract T is the empty string, the minimum foil
F is the expression "-()-". Explicitly marking each foil F that
is embodied in a cactus expression is tantamount to recognizing
another intermediate symbol, "F" in !Q!, further articulating the
structures of sentences and expanding the grammar for the language
!C!(!P!). All of the same remarks about the versatile uses of the
intermediate symbols, as string variables and as type names, apply
again to the letter "F".
| !C!(!P!). Grammar 3
|
| !Q! = {"F", "R", "T"}
|
| 1. S :> R
|
| 2. S :> F
|
| 3. S :> S · S
|
| 4. R :> !e!
|
| 5. R :> m_1
|
| 6. R :> p_j, for each j in J
|
| 7. R :> R · R
|
| 8. F :> "-(" · T · ")-"
|
| 9. T :> S
|
| 10. T :> T · "," · S
In Grammar 3, the first three Rules say that a sentence (a string of type S),
is a rune (a string of type R), a foil (a string of type F), or an arbitrary
concatenation of strings of these two types. Rules 4 through 7 specify that
a rune R is an empty string !e! = "", a blank symbol m_1 = " ", a paint p_j,
for j in J, or any concatenation of strings of these three types. Rule 8
characterizes a foil F as a string of the form "-(" · T · ")-", where T is
a tract. The last two Rules say that a tract T is either a sentence S or
else the concatenation of a tract, a comma, and a sentence, in that order.
At this point in the succession of grammars for !C!(!P!), the explicit
uses of indefinite iterations, like the kleene star operator, are now
completely reduced to finite forms of concatenation, but the problems
that some styles of analysis have with allowing non-terminal symbols
to cover both themselves and the empty string are still present.
Any degree of reflection on this difficulty raises the general question:
What is a practical strategy for accounting for the empty string in the
organization of any formal language that counts it among its sentences?
One answer that presents itself is this: If the empty string belongs to
a formal language, it suffices to count it once at the beginning of the
formal account that enumerates its sentences and then to move on to more
interesting materials.
Returning to the case of the cactus language !C!(!P!), that is,
the formal language of "painted and rooted cactus expressions",
it serves the purpose of efficient accounting to partition the
language PARCE into the following couple of sublanguages:
1. The "emptily painted and rooted cactus expressions"
make up the language EPARCE that consists of
a single empty string as its only sentence.
In short:
EPARCE = {""}.
2. The "significantly painted and rooted cactus expressions"
make up the language SPARCE that consists of everything else,
namely, all of the non-empty strings in the language PARCE.
In sum:
SPARCE = PARCE \ "".
As a result of marking the distinction between empty and significant sentences,
that is, by categorizing each of these three classes of strings as an entity
unto itself and by conceptualizing the whole of its membership as falling
under a distinctive symbol, one obtains an equation of sets that connects
the three languages being marked:
SPARCE = PARCE - EPARCE.
In sum, one has the disjoint union:
PARCE = EPARCE |_| SPARCE.
For brevity in the present case, and to serve as a generic device
in any similar array of situations, let the symbol "S" be used to
signify the type of an arbitrary sentence, possibly empty, whereas
the symbol "S'" is reserved to designate the type of a specifically
non-empty sentence. In addition, let the symbol "%e%" be employed
to indicate the type of the empty sentence, in effect, the language
%e% = {""} that contains a single empty string, and let a plus sign
"+" signify a disjoint union of types. In the most general type of
situation, where the type S is permitted to include the empty string,
one notes the following relation among types:
S = %e% + S'.
Consequences of the distinction between empty expressions and
significant expressions are taken up for discussion next time.
With the distinction between empty and significant expressions in mind,
I return to the grasp of the cactus language !L! = !C!(!P!) = PARCE(!P!)
that is afforded by Grammar 2, and, taking that as a point of departure,
explore other avenues of possible improvement in the comprehension of
these expressions. In order to observe the effects of this alteration
as clearly as possible, in isolation from any other potential factors,
it is useful to strip away the higher levels intermediate organization
that are present in Grammar 3, and start again with a single intermediate
symbol, as used in Grammar 2. One way of carrying out this strategy leads
on to a grammar of the variety that will be articulated next.
If one imposes the distinction between empty and significant types on
each non-terminal symbol in Grammar 2, then the non-terminal symbols
"S" and "T" give rise to the non-terminal symbols "S", "S'", "T", "T'",
leaving the last three of these to form the new intermediate alphabet.
Grammar 4 has the intermediate alphabet !Q! = {"S'", "T", "T'"}, with
the set !K! of covering production rules as listed in the next display.
| !C!(!P!). Grammar 4
|
| !Q! = {"S'", "T", "T'"}
|
| 1. S :> !e!
|
| 2. S :> S'
|
| 3. S' :> m_1
|
| 4. S' :> p_j, for each j in J
|
| 5. S' :> "-(" · T · ")-"
|
| 6. S' :> S' · S'
|
| 7. T :> !e!
|
| 8. T :> T'
|
| 9. T' :> T · "," · S
In this version of a grammar for !L! = !C!(!P!), the intermediate type T
is partitioned as T = %e% + T', thereby parsing the intermediate symbol T
in parallel fashion with the division of its overlying type as S = %e% + S'.
This is an option that I will choose to close off for now, but leave it open
to consider at a later point. Thus, it suffices to give a brief discussion
of what it involves, in the process of moving on to its chief alternative.
There does not appear to be anything radically wrong with trying this
approach to types. It is reasonable and consistent in its underlying
principle, and it provides a rational and a homogeneous strategy toward
all parts of speech, but it does require an extra amount of conceptual
overhead, in that every non-trivial type has to be split into two parts
and comprehended in two stages. Consequently, in view of the largely
practical difficulties of making the requisite distinctions for every
intermediate symbol, it is a common convention, whenever possible, to
restrict intermediate types to covering exclusively non-empty strings.
For the sake of future reference, it is convenient to refer to this restriction
on intermediate symbols as the "intermediate significance" constraint. It can
be stated in a compact form as a condition on the relations between non-terminal
symbols q in {"S"} |_| !Q! and sentential forms W in {"S"} |_| (!Q! |_| !A!)*.
| Condition On Intermediate Significance
|
| If q :> W
|
| and W = !e!,
|
| then q = "S".
If this is beginning to sound like a monotone condition, then it is
not absurd to sharpen the resemblance and render the likeness more
acute. This is done by declaring a couple of ordering relations,
denoting them under variant interpretations by the same sign "<".
1. The ordering "<" on the set of non-terminal symbols,
q in {"S"} |_| !Q!, ordains the initial symbol "S"
to be strictly prior to every intermediate symbol.
This is tantamount to the axiom that "S" < q,
for all q in !Q!.
2. The ordering "<" on the collection of sentential forms,
W in {"S"} |_| (!Q! |_| !A!)*, ordains the empty string
to be strictly minor to every other sentential form.
This is stipulated in the axiom that !e! < W,
for every non-empty sentential form W.
Given these two orderings, the constraint in question
on intermediate significance can be stated as follows:
| Condition Of Intermediate Significance
|
| If q :> W
|
| and q > "S",
|
| then W > !e!.
Achieving a grammar that respects this convention typically requires a more
detailed account of the initial setting of a type, both with regard to the
type of context that incites its appearance and also with respect to the
minimal strings that arise under the type in question. In order to find
covering productions that satisfy the intermediate significance condition,
one must be prepared to consider a wider variety of calling contexts or
inciting situations that can be noted to surround each recognized type,
and also to enumerate a larger number of the smallest cases that can
be observed to fall under each significant type.
With the array of foregoing considerations in mind,
one is gradually led to a grammar for !L! = !C!(!P!)
in which all of the covering productions have either
one of the following two forms:
| S :> !e!
|
| q :> W, with q in {"S"} |_| !Q!, and W in (!Q! |_| !A!)^+
A grammar that fits into this mold is called a "context-free" grammar.
The first type of rewrite rule is referred to as a "special production",
while the second type of rewrite rule is called an "ordinary production".
An "ordinary derivation" is one that employs only ordinary productions.
In ordinary productions, those that have the form q :> W, the replacement
string W is never the empty string, and so the lengths of the augmented
strings or the sentential forms that follow one another in an ordinary
derivation, on account of using the ordinary types of rewrite rules,
never decrease at any stage of the process, up to and including the
terminal string that is finally generated by the grammar. This type
of feature is known as the "non-contracting property" of productions,
derivations, and grammars. A grammar is said to have the property if
all of its covering productions, with the possible exception of S :> e,
are non-contracting. In particular, context-free grammars are special
cases of non-contracting grammars. The presence of the non-contracting
property within a formal grammar makes the length of the augmented string
available as a parameter that can figure into mathematical inductions and
motivate recursive proofs, and this handle on the generative process makes
it possible to establish the kinds of results about the generated language
that are not easy to achieve in more general cases, nor by any other means
even in these brands of special cases.
Grammar 5 is a context-free grammar for the painted cactus language
that uses !Q! = {"S'", "T"}, with !K! as listed in the next display.
| !C!(!P!). Grammar 5
|
| !Q! = {"S'", "T"}
|
| 1. S :> !e!
|
| 2. S :> S'
|
| 3. S' :> m_1
|
| 4. S' :> p_j, for each j in J
|
| 5. S' :> S' · S'
|
| 6. S' :> "-()-"
|
| 7. S' :> "-(" · T · ")-"
|
| 8. T :> ","
|
| 9. T :> S'
|
| 10. T :> T · ","
|
| 11. T :> T · "," · S'
Finally, it is worth trying to bring together the advantages of these
diverse styles of grammar, to whatever extent that they are compatible.
To do this, a prospective grammar must be capable of maintaining a high
level of intermediate organization, like that arrived at in Grammar 2,
while respecting the principle of intermediate significance, and thus
accumulating all the benefits of the context-free format in Grammar 5.
A plausible synthesis of most of these features is given in Grammar 6.
| !C!(!P!). Grammar 6
|
| !Q! = {"S'", "R", "F", "T"}
|
| 1. S :> !e!
|
| 2. S :> S'
|
| 3. S' :> R
|
| 4. S' :> F
|
| 5. S' :> S' · S'
|
| 6. R :> m_1
|
| 7. R :> p_j, for each j in J
|
| 8. R :> R · R
|
| 9. F :> "-()-"
|
| 10. F :> "-(" · T · ")-"
|
| 11. T :> ","
|
| 12. T :> S'
|
| 13. T :> T · ","
|
| 14. T :> T · "," · S'
The preceding development provides a typical example of how an initially
effective and conceptually succinct description of a formal language, but
one that is terse to the point of allowing its prospective interpreter to
waste exorbitant amounts of energy in trying to unravel its implications,
can be converted into a form that is more efficient from the operational
point of view, even if slightly more ungainly in regard to its elegance.
The basic idea behind all of this machinery remains the same: Besides
the select body of formulas that are introduced as boundary conditions,
it merely institutes the following general rule:
| If the strings S_1, ..., S_k are sentences,
|
| then their concatenation in the form
|
| Conc^k_j S_j = S_1 · ... · S_k
|
| is a sentence,
|
| and their surcatenation in the form
|
| Surc^k_j S_j = "-(" · S_1 · "," · ... · "," · S_k · ")-"
|
| is a sentence.
It is fitting to wrap up the foregoing developments by summarizing the
notion of a formal grammar that appeared to evolve in the present case.
For the sake of future reference and the chance of a wider application,
it is also useful to try to extract the scheme of a formalization that
potentially holds for any formal language. The following presentation
of the notion of a formal grammar is adapted, with minor modifications,
from the treatment in (DDQ, 60-61).
A "formal grammar" !G! is given by a four-tuple !G! = ("S", !Q!, !A!, !K!)
that takes the following form of description:
1. "S" is the "initial", "special", "start", or "sentence symbol".
Since the letter "S" serves this function only in a special setting,
its employment in this role need not create any confusion with its
other typical uses as a string variable or as a sentence variable.
2. !Q! = {q_1, ..., q_m} is a finite set of "intermediate symbols",
all distinct from "S".
3. !A! = {a_1, ..., a_n} is a finite set of "terminal symbols",
also known as the "alphabet" of !G!, all distinct from "S" and
disjoint from !Q!. Depending on the particular conception of the
language !L! that is "covered", "generated", "governed", or "ruled"
by the grammar !G!, that is, whether !L! is conceived to be a set of
words, sentences, paragraphs, or more extended structures of discourse,
it is usual to describe !A! as the "alphabet", "lexicon", "vocabulary",
"liturgy", or "phrase book" of both the grammar !G! and the language !L!
that it regulates.
4. !K! is a finite set of "characterizations". Depending on how they
come into play, these are variously described as "covering rules",
"formations", "productions", "rewrite rules", "subsumptions",
"transformations", or "typing rules".
To describe the elements of !K! it helps to define some additional terms:
a. The symbols in {"S"} |_| !Q! |_| !A! form the "augmented alphabet" of !G!.
b. The symbols in {"S"} |_| !Q! are the "non-terminal symbols" of !G!.
c. The symbols in !Q! |_| !A! are the "non-initial symbols" of !G!.
d. The strings in ({"S"} |_| !Q! |_| !A!)* are the "augmented strings" for G.
e. The strings in {"S"} |_| (!Q! |_| !A!)* are the "sentential forms" for G.
Each characterization in !K! is an ordered pair of strings (S_1, S_2)
that takes the following form:
| S_1 = Q_1 · q · Q_2,
|
| S_2 = Q_1 · W · Q_2.
In this scheme, S_1 and S_2 are members of the augmented strings for !G!,
more precisely, S_1 is a non-empty string and a sentential form over !G!,
while S_2 is a possibly empty string and also a sentential form over !G!.
Here also, q is a non-terminal symbol, that is, q is in {"S"} |_| !Q!,
while Q_1, Q_2, and W are possibly empty strings of non-initial symbols,
a fact that can be expressed in the form: Q_1, Q_2, W in (!Q! |_| !A!)*.
In practice, the ordered pairs of strings in !K! are used to "derive",
to "generate", or to "produce" sentences of the language !L! = <!G!>
that is then said to be "governed" or "regulated" by the grammar !G!.
In order to facilitate this active employment of the grammar, it is
conventional to write the characterization (S_1, S_2) in either one
of the next two forms, where the more generic form is followed by
the more specific form:
| S_1 :> S_2
|
| Q_1 · q · Q_2 :> Q_1 · W · Q_2
In this usage, the characterization S_1 :> S_2 is tantamount to a grammatical
license to transform a string of the form Q_1 · q · Q_2 into a string of the
form Q1 · W · Q2, in effect, replacing the non-terminal symbol q with the
non-initial string W in any selected, preserved, and closely adjoining
context of the form Q1 · ... · Q2. Accordingly, in this application
the notation "S_1 :> S_2" can be read as "S_1 produces S_2" or as
"S_1 transforms into S_2".
An "immediate derivation" in !G! is an ordered pair (W, W')
of sentential forms in !G! such that:
| W = Q_1 · X · Q_2,
|
| W' = Q_1 · Y · Q_2,
|
| and (X, Y) in !K!,
|
| i.e. X :> Y in !G!.
This relation is indicated by saying that W "immediately derives" W',
that W' is "immediately derived" from W in !G!, and also by writing:
W ::> W'.
A "derivation" in !G! is a finite sequence (W_1, ..., W_k)
of sentential forms over !G! such that each adjacent pair
(W_j, W_(j+1)) of sentential forms in the sequence is an
immediate derivation in !G!, in other words, such that:
W_j ::> W_(j+1), for all j = 1 to k-1.
If there exists a derivation (W_1, ..., W_k) in !G!,
one says that W_1 "derives" W_k in !G!, conversely,
that W_k is "derivable" from W_1 in !G!, and one
typically summarizes the derivation by writing:
W_1 :*:> W_k.
The language !L! = !L!(!G!) = <!G!> that is "generated"
by the formal grammar !G! = ("S", !Q!, !A!, !K!) is the
set of strings over the terminal alphabet !A! that are
derivable from the initial symbol "S" by way of the
intermediate symbols in !Q! according to the
characterizations in K. In sum:
!L!(!G!) = <!G!> = {W in !A!* : "S" :*:> W}.
Finally, a string W is called a "word", a "sentence", or so on,
of the language generated by !G! if and only if W is in !L!(!G!).
Reference
| Denning, P.J., Dennis, J.B., Qualitz, J.E.,
|'Machines, Languages, and Computation',
| Prentice-Hall, Englewood Cliffs, NJ, 1978.
The Cactus Language : Stylistics
|
As a result, we can hardly conceive of how many possibilities there are for what we call objective reality. Our sharp quills of knowledge are so narrow and so concentrated in particular directions that with science there are myriads of totally different real worlds, each one accessible from the next simply by slight alterations — shifts of gaze — of every particular discipline and subspecialty. |
| — Herbert J. Bernstein, "Idols of Modern Science", [HJB, 38] |
This Subsection highlights an issue of "style" that arises in describing
a formal language. In broad terms, I use the word "style" to refer to a
loosely specified class of formal systems, typically ones that have a set
of distinctive features in common. For instance, a style of proof system
usually dictates one or more rules of inference that are acknowledged as
conforming to that style. In the present context, the word "style" is a
natural choice to characterize the varieties of formal grammars, or any
other sorts of formal systems that can be contemplated for deriving the
sentences of a formal language.
In looking at what seems like an incidental issue, the discussion arrives
at a critical point. The question is: What decides the issue of style?
Taking a given language as the object of discussion, what factors enter
into and determine the choice of a style for its presentation, that is,
a particular way of arranging and selecting the materials that come to
be involved in a description, a grammar, or a theory of the language?
To what degree is the determination accidental, empirical, pragmatic,
rhetorical, or stylistic, and to what extent is the choice essential,
logical, and necessary? For that matter, what determines the order
of signs in a word, a sentence, a text, or a discussion? All of
the corresponding parallel questions about the character of this
choice can be posed with regard to the constituent part as well
as with regard to the main constitution of the formal language.
In order to answer this sort of question, at any level of articulation,
one has to inquire into the type of distinction that it invokes, between
arrangements and orders that are essential, logical, and necessary and
orders and arrangements that are accidental, rhetorical, and stylistic.
As a rough guide to its comprehension, a "logical order", if it resides
in the subject at all, can be approached by considering all of the ways
of saying the same things, in all of the languages that are capable of
saying roughly the same things about that subject. Of course, the "all"
that appears in this rule of thumb has to be interpreted as a fittingly
qualified sort of universal. For all practical purposes, it simply means
"all of the ways that a person can think of" and "all of the languages
that a person can conceive of", with all things being relative to the
particular moment of investigation. For all of these reasons, the rule
must stand as little more than a rough idea of how to approach its object.
If it is demonstrated that a given formal language can be presented in
any one of several styles of formal grammar, then the choice of a format
is accidental, optional, and stylistic to the very extent that it is free.
But if it can be shown that a particular language cannot be successfully
presented in a particular style of grammar, then the issue of style is
no longer free and rhetorical, but becomes to that very degree essential,
necessary, and obligatory, in other words, a question of the objective
logical order that can be found to reside in the object language.
As a rough illustration of the difference between logical and rhetorical
orders, consider the kinds of order that are expressed and exhibited in
the following conjunction of implications:
"X => Y and Y => Z".
Here, there is a happy conformity between the logical content and the
rhetorical form, indeed, to such a degree that one hardly notices the
difference between them. The rhetorical form is given by the order
of sentences in the two implications and the order of implications
in the conjunction. The logical content is given by the order of
propositions in the extended implicational sequence:
X =< Y =< Z.
To see the difference between form and content, or manner and matter,
it is enough to observe a few of the ways that the expression can be
varied without changing its meaning, for example:
"Z <= Y and Y <= X".
Any style of declarative programming, also called "logic programming",
depends on a capacity, as embodied in a programming language or other
formal system, to describe the relation between problems and solutions
in logical terms. A recurring problem in building this capacity is in
bridging the gap between ostensibly non-logical orders and the logical
orders that are used to describe and to represent them. For instance,
to mention just a couple of the most pressing cases, and the ones that
are currently proving to be the most resistant to a complete analysis,
one has the orders of dynamic evolution and rhetorical transition that
manifest themselves in the process of inquiry and in the communication
of its results.
This patch of the ongoing discussion is concerned with describing a
particular variety of formal languages, whose typical representative
is the painted cactus language !L! = !C!(!P!). It is the intention of
this work to interpret this language for propositional logic, and thus
to use it as a sentential calculus, an order of reasoning that forms an
active ingredient and a significant component of all logical reasoning.
To describe this language, the standard devices of formal grammars and
formal language theory are more than adequate, but this only raises the
next question: What sorts of devices are exactly adequate, and fit the
task to a "T"? The ultimate desire is to turn the tables on the order
of description, and so begins a process of eversion that evolves to the
point of asking: To what extent can the language capture the essential
features and laws of its own grammar and describe the active principles
of its own generation? In other words: How well can the language be
described by using the language itself to do so?
In order to speak to these questions, I have to express what a grammar says
about a language in terms of what a language can say on its own. In effect,
it is necessary to analyze the kinds of meaningful statements that grammars
are capable of making about languages in general and to relate them to the
kinds of meaningful statements that the syntactic "sentences" of the cactus
language might be interpreted as making about the very same topics. So far
in the present discussion, the sentences of the cactus language do not make
any meaningful statements at all, much less any meaningful statements about
languages and their constitutions. As of yet, these sentences subsist in the
form of purely abstract, formal, and uninterpreted combinatorial constructions.
Before the capacity of a language to describe itself can be evaluated,
the missing link to meaning has to be supplied for each of its strings.
This calls for a dimension of semantics and a notion of interpretation,
topics that are taken up for the case of the cactus language !C!(!P!)
in Subsection 1.3.10.12. Once a plausible semantics is prescribed for
this language it will be possible to return to these questions and to
address them in a meaningful way.
The prominent issue at this point is the distinct placements of formal
languages and formal grammars with respect to the question of meaning.
The sentences of a formal language are merely the abstract strings of
abstract signs that happen to belong to a certain set. They do not by
themselves make any meaningful statements at all, not without mounting
a separate effort of interpretation, but the rules of a formal grammar
make meaningful statements about a formal language, to the extent that
they say what strings belong to it and what strings do not. Thus, the
formal grammar, a formalism that appears to be even more skeletal than
the formal language, still has bits and pieces of meaning attached to it.
In a sense, the question of meaning is factored into two parts, structure
and value, leaving the aspect of value reduced in complexity and subtlety
to the simple question of belonging. Whether this single bit of meaningful
value is enough to encompass all of the dimensions of meaning that we require,
and whether it can be compounded to cover the complexity that actually exists
in the realm of meaning -- these are questions for an extended future inquiry.
Perhaps I ought to comment on the differences between the present and
the standard definition of a formal grammar, since I am attempting to
strike a compromise with several alternative conventions of usage, and
thus to leave certain options open for future exploration. All of the
changes are minor, in the sense that they are not intended to alter the
classes of languages that are able to be generated, but only to clear up
various ambiguities and sundry obscurities that affect their conception.
Primarily, the conventional scope of non-terminal symbols was expanded
to encompass the sentence symbol, mainly on account of all the contexts
where the initial and the intermediate symbols are naturally invoked in
the same breath. By way of compensating for the usual exclusion of the
sentence symbol from the non-terminal class, an equivalent distinction
was introduced in the fashion of a distinction between the initial and
the intermediate symbols, and this serves its purpose in all of those
contexts where the two kind of symbols need to be treated separately.
At the present point, I remain a bit worried about the motivations
and the justifications for introducing this distinction, under any
name, in the first place. It is purportedly designed to guarantee
that the process of derivation at least gets started in a definite
direction, while the real questions have to do with how it all ends.
The excuses of efficiency and expediency that I offered as plausible
and sufficient reasons for distinguishing between empty and significant
sentences are likely to be ephemeral, if not entirely illusory, since
intermediate symbols are still permitted to characterize or to cover
themselves, not to mention being allowed to cover the empty string,
and so the very types of traps that one exerts oneself to avoid at
the outset are always there to afflict the process at all of the
intervening times.
If one reflects on the form of grammar that is being prescribed here,
it looks as if one sought, rather futilely, to avoid the problems of
recursion by proscribing the main program from calling itself, while
allowing any subprogram to do so. But any trouble that is avoidable
in the part is also avoidable in the main, while any trouble that is
inevitable in the part is also inevitable in the main. Consequently,
I am reserving the right to change my mind at a later stage, perhaps
to permit the initial symbol to characterize, to cover, to regenerate,
or to produce itself, if that turns out to be the best way in the end.
Before I leave this Subsection, I need to say a few things about
the manner in which the abstract theory of formal languages and
the pragmatic theory of sign relations interact with each other.
Formal language theory can seem like an awfully picky subject at times,
treating every symbol as a thing in itself the way it does, sorting out
the nominal types of symbols as objects in themselves, and singling out
the passing tokens of symbols as distinct entities in their own rights.
It has to continue doing this, if not for any better reason than to aid
in clarifying the kinds of languages that people are accustomed to use,
to assist in writing computer programs that are capable of parsing real
sentences, and to serve in designing programming languages that people
would like to become accustomed to use. As a matter of fact, the only
time that formal language theory becomes too picky, or a bit too myopic
in its focus, is when it leads one to think that one is dealing with the
thing itself and not just with the sign of it, in other words, when the
people who use the tools of formal language theory forget that they are
dealing with the mere signs of more interesting objects and not with the
objects of ultimate interest in and of themselves.
As a result, there a number of deleterious effects that can arise from
the extreme pickiness of formal language theory, arising, as is often the
case, when formal theorists forget the practical context of theorization.
It frequently happens that the exacting task of defining the membership
of a formal language leads one to think that this object and this object
alone is the justifiable end of the whole exercise. The distractions of
this mediate objective render one liable to forget that one's penultimate
interest lies always with various kinds of equivalence classes of signs,
not entirely or exclusively with their more meticulous representatives.
When this happens, one typically goes on working oblivious to the fact
that many details about what transpires in the meantime do not matter
at all in the end, and one is likely to remain in blissful ignorance
of the circumstance that many special details of language membership
are bound, destined, and pre-determined to be glossed over with some
measure of indifference, especially when it comes down to the final
constitution of those equivalence classes of signs that are able to
answer for the genuine objects of the whole enterprise of language.
When any form of theory, against its initial and its best intentions,
leads to this kind of absence of mind that is no longer beneficial in
all of its main effects, the situation calls for an antidotal form of
theory, one that can restore the presence of mind that all forms of
theory are meant to augment.
The pragmatic theory of sign relations is called for in settings where
everything that can be named has many other names, that is to say, in
the usual case. Of course, one would like to replace this superfluous
multiplicity of signs with an organized system of canonical signs, one
for each object that needs to be denoted, but reducing the redundancy
too far, beyond what is necessary to eliminate the factor of "noise" in
the language, that is, to clear up its effectively useless distractions,
can destroy the very utility of a typical language, which is intended to
provide a ready means to express a present situation, clear or not, and
to describe an ongoing condition of experience in just the way that it
seems to present itself. Within this fleshed out framework of language,
moreover, the process of transforming the manifestations of a sign from
its ordinary appearance to its canonical aspect is the whole problem of
computation in a nutshell.
It is a well-known truth, but an often forgotten fact, that nobody
computes with numbers, but solely with numerals in respect of numbers,
and numerals themselves are symbols. Among other things, this renders
all discussion of numeric versus symbolic computation a bit beside the
point, since it is only a question of what kinds of symbols are best for
one's immediate application or for one's selection of ongoing objectives.
The numerals that everybody knows best are just the canonical symbols,
the standard signs or the normal terms for numbers, and the process of
computation is a matter of getting from the arbitrarily obscure signs
that the data of a situation are capable of throwing one's way to the
indications of its character that are clear enough to motivate action.
Having broached the distinction between propositions and sentences, one
can see its similarity to the distinction between numbers and numerals.
What are the implications of the foregoing considerations for reasoning
about propositions and for the realm of reckonings in sentential logic?
If the purpose of a sentence is just to denote a proposition, then the
proposition is just the object of whatever sign is taken for a sentence.
This means that the computational manifestation of a piece of reasoning
about propositions amounts to a process that takes place entirely within
a language of sentences, a procedure that can rationalize its account by
referring to the denominations of these sentences among propositions.
The application of these considerations in the immediate setting is this:
Do not worry too much about what roles the empty string "" and the blank
symbol " " are supposed to play in a given species of formal languages.
As it happens, it is far less important to wonder whether these types
of formal tokens actually constitute genuine sentences than it is to
decide what equivalence classes it makes sense to form over all of
the sentences in the resulting language, and only then to bother
about what equivalence classes these limiting cases of sentences
are most conveniently taken to represent.
These concerns about boundary conditions betray a more general issue.
Already by this point in discussion the limits of the purely syntactic
approach to a language are beginning to be visible. It is not that one
cannot go a whole lot further by this road in the analysis of a particular
language and in the study of languages in general, but when it comes to the
questions of understanding the purpose of a language, of extending its usage
in a chosen direction, or of designing a language for a particular set of uses,
what matters above all else are the "pragmatic equivalence classes" of signs that
are demanded by the application and intended by the designer, and not so much the
peculiar characters of the signs that represent these classes of practical meaning.
Any description of a language is bound to have alternative descriptions.
More precisely, a circumscribed description of a formal language, as any
effectively finite description is bound to be, is certain to suggest the
equally likely existence and the possible utility of other descriptions.
A single formal grammar describes but a single formal language, but any
formal language is described by many different formal grammars, not all
of which afford the same grasp of its structure, provide an equivalent
comprehension of its character, or yield an interchangeable view of its
aspects. Consequently, even with respect to the same formal language,
different formal grammars are typically better for different purposes.
With the distinctions that evolve among the different styles of grammar,
and with the preferences that different observers display toward them,
there naturally comes the question: What is the root of this evolution?
One dimension of variation in the styles of formal grammars can be seen
by treating the union of languages, and especially the disjoint union of
languages, as a "sum", by treating the concatenation of languages as a
"product", and then by distinguishing the styles of analysis that favor
"sums of products" from those that favor "products of sums" as their
canonical forms of description. If one examines the relation between
languages and grammars carefully enough to see the presence and the
influence of these different styles, and when one comes to appreciate
the ways that different styles of grammars can be used with different
degrees of success for different purposes, then one begins to see the
possibility that alternative styles of description can be based on
altogether different linguistic and logical operations.
It possible to trace this divergence of styles to an even more primitive
division, one that distinguishes the "additive" or the "parallel" styles
from the "multiplicative" or the "serial" styles. The issue is somewhat
confused by the fact that an "additive" analysis is typically expressed
in the form of a "series", in other words, a disjoint union of sets or a
linear sum of their independent effects. But it is easy enough to sort
this out if one observes the more telling connection between "parallel"
and "independent". Another way to keep the right associations straight
is to employ the term "sequential" in preference to the more misleading
term "serial". Whatever one calls this broad division of styles, the
scope and sweep of their dimensions of variation can be delineated in
the following way:
1. The "additive" or "parallel" styles favor "sums of products" as
canonical forms of expression, pulling sums, unions, co-products,
and logical disjunctions to the outermost layers of analysis and
synthesis, while pushing products, intersections, concatenations,
and logical conjunctions to the innermost levels of articulation
and generation. In propositional logic, this style leads to the
"disjunctive normal form" (DNF).
2. The "multiplicative" or "serial" styles favor "products of sums"
as canonical forms of expression, pulling products, intersections,
concatenations, and logical conjunctions to the outermost layers of
analysis and synthesis, while pushing sums, unions, co-products,
and logical disjunctions to the innermost levels of articulation
and generation. In propositional logic, this style leads to the
"conjunctive normal form" (CNF).
There is a curious sort of diagnostic clue, a veritable shibboleth,
that often serves to reveal the dominance of one mode or the other
within an individual thinker's cognitive style. Examined on the
question of what constitutes the "natural numbers", an "additive"
thinker tends to start the sequence at 0, while a "multiplicative"
thinker tends to regard it as beginning at 1.
In any style of description, grammar, or theory of a language, it is
usually possible to tease out the influence of these contrasting traits,
namely, the "additive" attitude versus the "mutiplicative" tendency that
go to make up the particular style in question, and even to determine the
dominant inclination or point of view that establishes its perspective on
the target domain.
In each style of formal grammar, the "multiplicative" aspect is present
in the sequential concatenation of signs, both in the augmented strings
and in the terminal strings. In settings where the non-terminal symbols
classify types of strings, the concatenation of the non-terminal symbols
signifies the cartesian product over the corresponding sets of strings.
In the context-free style of formal grammar, the "additive" aspect is
easy enough to spot. It is signaled by the parallel covering of many
augmented strings or sentential forms by the same non-terminal symbol.
Expressed in active terms, this calls for the independent rewriting
of that non-terminal symbol by a number of different successors,
as in the following scheme:
| q :> W_1.
|
| ... ... ...
|
| q :> W_k.
It is useful to examine the relationship between the grammatical covering
or production relation ":>" and the logical relation of implication "=>",
with one eye to what they have in common and one eye to how they differ.
The production "q :> W" says that the appearance of the symbol "q" in
a sentential form implies the possibility of exchanging it for "W".
Although this sounds like a "possible implication", to the extent
that "q implies a possible W" or that "q possibly implies W", the
qualifiers "possible" and "possibly" are the critical elements in
these statements, and they are crucial to the meaning of what is
actually being implied. In effect, these qualifications reverse
the direction of implication, yielding "q <= W" as the best
analogue for the sense of the production.
One way to sum this up is to say that non-terminal symbols have the
significance of hypotheses. The terminal strings form the empirical
matter of a language, while the non-terminal symbols mark the patterns
or the types of substrings that can be noticed in the profusion of data.
If one observes a portion of a terminal string that falls into the pattern
of the sentential form W, then it is an admissable hypothesis, according to
the theory of the language that is constituted by the formal grammar, that
this piece not only fits the type q but even comes to be generated under
the auspices of the non-terminal symbol "q".
A moment's reflection on the issue of style, giving due consideration to the
received array of stylistic choices, ought to inspire at least the question:
"Are these the only choices there are?" In the present setting, there are
abundant indications that other options, more differentiated varieties of
description and more integrated ways of approaching individual languages,
are likely to be conceivable, feasible, and even more ultimately viable.
If a suitably generic style, one that incorporates the full scope of
logical combinations and operations, is broadly available, then it
would no longer be necessary, or even apt, to argue in universal
terms about "which style is best", but more useful to investigate
how we might adapt the local styles to the local requirements.
The medium of a generic style would yield a viable compromise
between "additive" and "multiplicative" canons, and render the
choice between "parallel" and "serial" a false alternative,
at least, when expressed in the globally exclusive terms
that are currently most commonly adopted to pose it.
One set of indications comes from the study of machines, languages, and
computation, especially the theories of their structures and relations.
The forms of composition and decomposition that are generally known as
"parallel" and "serial" are merely the extreme special cases, in variant
directions of specialization, of a more generic form, usually called the
"cascade" form of combination. This is a well-known fact in the theories
that deal with automata and their associated formal languages, but its
implications do not seem to be widely appreciated outside these fields.
In particular, it dispells the need to choose one extreme or the other,
since most of the natural cases are likely to exist somewhere in between.
Another set of indications appears in algebra and category theory,
where forms of composition and decomposition related to the cascade
combination, namely, the "semi-direct product" and its special case,
the "wreath product", are encountered at higher levels of generality
than the cartesian products of sets or the direct products of spaces.
In these domains of operation, one finds it necessary to consider also
the "co-product" of sets and spaces, a construction that artificially
creates a disjoint union of sets, that is, a union of spaces that are
being treated as independent. It does this, in effect, by "indexing",
"coloring", or "preparing" the otherwise possibly overlapping domains
that are being combined. What renders this a "chimera" or a "hybrid"
form of combination is the fact that this indexing is tantamount to a
cartesian product of a singleton set, namely, the conventional "index",
"color", or "affix" in question, with the individual domain that is
entering as a factor, a term, or a participant in the final result.
One of the insights that arises out of Peirce's logical work is that
the set operations of complementation, intersection, and union, along
with the logical operations of negation, conjunction, and disjunction
that operate in isomorphic tandem with them, are not as fundamental as
they first appear. This is because all of them can be constructed from
or derived from a smaller set of operations, in fact, taking the logical
side of things, from either one of two "solely sufficient" operators,
called "amphecks" by Peirce, "strokes" by those who re-discovered them
later, and known in computer science as the NAND and the NNOR operators.
For this reason, that is, by virtue of their precedence in the orders
of construction and derivation, these operations have to be regarded
as the simplest and the most primitive in principle, even if they are
scarcely recognized as lying among the more familiar elements of logic.
I am throwing together a wide variety of different operations into each
of the bins labeled "additive" and "multiplicative", but it is easy to
observe a natural organization and even some relations approaching
isomorphisms among and between the members of each class.
The relation between logical disjunction and set-theoretic union and the
relation between logical conjunction and set-theoretic intersection ought
to be clear enough for the purposes of the immediately present context.
In any case, all of these relations are scheduled to receive a thorough
examination in a subsequent discussion (Subsection 1.3.10.13). But the
relation of a set-theoretic union to a category-theoretic co-product and
the relation of a set-theoretic intersection to a syntactic concatenation
deserve a closer look at this point.
The effect of a co-product as a "disjointed union", in other words, that
creates an object tantamount to a disjoint union of sets in the resulting
co-product even if some of these sets intersect non-trivially and even if
some of them are identical "in reality", can be achieved in several ways.
The most usual conception is that of making a "separate copy", for each
part of the intended co-product, of the set that is intended to go there.
Often one thinks of the set that is assigned to a particular part of the
co-product as being distinguished by a particular "color", in other words,
by the attachment of a distinct "index", "label", or "tag", being a marker
that is inherited by and passed on to every element of the set in that part.
A concrete image of this construction can be achieved by imagining that each
set and each element of each set is placed in an ordered pair with the sign
of its color, index, label, or tag. One describes this as the "injection"
of each set into the corresponding "part" of the co-product.
For example, given the sets P and Q, overlapping or not, one can define
the "indexed" sets or the "marked" sets P_[1] and Q_[2], amounting to the
copy of P into the first part of the co-product and the copy of Q into the
second part of the co-product, in the following manner:
P_[1] = <P, 1> = {<x, 1> : x in P},
Q_[2] = <Q, 2> = {<x, 2> : x in Q}.
Using the sign "]_[" for this construction, the "sum", the "co-product",
or the "disjointed union" of P and Q in that order can be represented as
the ordinary disjoint union of P_[1] and Q_[2].
P ]_[ Q = P_[1] |_| Q_[2].
The concatenation L_1 · L_2 of the formal languages L_1 and L_2 is
just the cartesian product of sets L_1 x L_2 without the extra x's,
but the relation of cartesian products to set-theoretic intersections
and thus to logical conjunctions is far from being clear. One way of
seeing a type of relation is to focus on the information that is needed
to specify each construction, and thus to reflect on the signs that are
used to carry this information. As a first approach to the topic of
information, according to a strategy that seeks to be as elementary
and as informal as possible, I introduce the following set of ideas,
intended to be taken in a very provisional way.
A "stricture" is a specification of a certain set in a certain place,
relative to a number of other sets, yet to be specified. It is assumed
that one knows enough to tell if two strictures are equivalent as pieces
of information, but any more determinate indications, like names for the
places that are mentioned in the stricture, or bounds on the number of
places that are involved, are regarded as being extraneous impositions,
outside the proper concern of the definition, no matter how convenient
they are found to be for a particular discussion. As a schematic form
of illustration, a stricture can be pictured in the following shape:
"... x X x Q x X x ..."
A "strait" is the object that is specified by a stricture, in effect,
a certain set in a certain place of an otherwise yet to be specified
relation. Somewhat sketchily, the strait that corresponds to the
stricture just given can be pictured in the following shape:
... x X x Q x X x ...
In this picture, Q is a certain set, and X is the universe of discourse
that is relevant to a given discussion. Since a stricture does not, by
itself, contain a sufficient amount of information to specify the number
of sets that it intends to set in place, or even to specify the absolute
location of the set that its does set in place, it appears to place an
unspecified number of unspecified sets in a vague and uncertain strait.
Taken out of its interpretive context, the residual information that a
stricture can convey makes all of the following potentially equivalent
as strictures:
"Q", "XxQxX", "XxXxQxXxX", ...
With respect to what these strictures specify, this
leaves all of the following equivalent as straits:
Q = XxQxX = XxXxQxXxX = ...
Within the framework of a particular discussion, it is customary to
set a bound on the number of places and to limit the variety of sets
that are regarded as being under active consideration, and it is also
convenient to index the places of the indicated relations, and of their
encompassing cartesian products, in some fixed way. But the whole idea
of a stricture is to specify a strait that is capable of extending through
and beyond any fixed frame of discussion. In other words, a stricture is
conceived to constrain a strait at a certain point, and then to leave it
literally embedded, if tacitly expressed, in a yet to be fully specified
relation, one that involves an unspecified number of unspecified domains.
A quantity of information is a measure of constraint. In this respect,
a set of comparable strictures is ordered on account of the information
that each one conveys, and a system of comparable straits is ordered in
accord with the amount of information that it takes to pin each one of
them down. Strictures that are more constraining and straits that are
more constrained are placed at higher levels of information than those
that are less so, and entities that involve more information are said
to have a greater "complexity" in comparison with those entities that
involve less information, that are said to have a greater "simplicity".
In order to create a concrete example, let me now institute a frame of
discussion where the number of places in a relation is bounded at two,
and where the variety of sets under active consideration is limited to
the typical subsets P and Q of a universe X. Under these conditions,
one can use the following sorts of expression as schematic strictures:
| "X" , "P" , "Q" ,
|
| "XxX", "XxP", "XxQ",
|
| "PxX", "PxP", "PxQ",
|
| "QxX", "QxP", "QxQ".
These strictures and their corresponding straits are stratified according
to their amounts of information, or their levels of constraint, as follows:
| High: "PxP", "PxQ", "QxP", "QxQ".
|
| Med: "P" , "XxP", "PxX".
|
| Med: "Q" , "XxQ", "QxX".
|
| Low: "X" , "XxX".
Within this framework, the more complex strait PxQ can be expressed
in terms of the simpler straits, PxX and XxQ. More specifically,
it lends itself to being analyzed as their intersection, in the
following way:
PxQ = PxX |^| XxQ.
>From here it is easy to see the relation of concatenation, by virtue of
these types of intersection, to the logical conjunction of propositions.
The cartesian product PxQ is described by a conjunction of propositions,
namely, "P_<1> and Q_<2>", subject to the following interpretation:
1. "P_<1>" asserts that there is an element from
the set P in the first place of the product.
2. "Q_<2>" asserts that there is an element from
the set Q in the second place of the product.
The integration of these two pieces of information can be taken
in that measure to specify a yet to be fully determined relation.
In a corresponding fashion at the level of the elements,
the ordered pair <p, q> is described by a conjunction
of propositions, namely, "p_<1> and q_<2>", subject
to the following interpretation:
1. "p_<1>" says that p is in the first place
of the product element under construction.
2. "q_<2>" says that q is in the second place
of the product element under construction.
Notice that, in construing the cartesian product of the sets P and Q or the
concatenation of the languages L_1 and L_2 in this way, one shifts the level
of the active construction from the tupling of the elements in P and Q or the
concatenation of the strings that are internal to the languages L_1 and L_2 to
the concatenation of the external signs that it takes to indicate these sets or
these languages, in other words, passing to a conjunction of indexed propositions,
"P_<1> and Q_<2>", or to a conjunction of assertions, "L_1_<1> and L_2_<2>", that
marks the sets or the languages in question for insertion in the indicated places
of a product set or a product language, respectively. In effect, the subscripting
by the indices "<1>" and "<2>" can be recognized as a special case of concatenation,
albeit through the posting of editorial remarks from an external "mark-up" language.
In order to systematize the relations that strictures and straits placed
at higher levels of complexity, constraint, information, and organization
have with those that are placed at the associated lower levels, I introduce
the following pair of definitions:
The j^th "excerpt" of a stricture of the form "S_1 x ... x S_k", regarded
within a frame of discussion where the number of places is limited to k,
is the stricture of the form "X x ... x S_j x ... x X". In the proper
context, this can be written more succinctly as the stricture "S_j_<j>",
an assertion that places the j^th set in the j^th place of the product.
The j^th "extract" of a strait of the form S_1 x ... x S_k, constrained
to a frame of discussion where the number of places is restricted to k,
is the strait of the form X x ... x S_j x ... x X. In the appropriate
context, this can be denoted more succinctly by the stricture "S_j_<j>",
an assertion that places the j^th set in the j^th place of the product.
In these terms, a stricture of the form "S_1 x ... x S_k"
can be expressed in terms of simpler strictures, to wit,
as a conjunction of its k excerpts:
"S_1 x ... x S_k" = "S_1_<1>" & ... & "S_k_<k>".
In a similar vein, a strait of the form S_1 x ... x S_k
can be expressed in terms of simpler straits, namely,
as an intersection of its k extracts:
S_1 x ... x S_k = S_1_<1> |^| ... |^| S_k_<k>.
There is a measure of ambiguity that remains in this formulation,
but it is the best that I can do in the present informal context.
The Cactus Language : Mechanics
|
We are only now beginning to see how this works. Clearly one of the mechanisms for picking a reality is the sociohistorical sense of what is important — which research program, with all its particularity of knowledge, seems most fundamental, most productive, most penetrating. The very judgments which make us push narrowly forward simultaneously make us forget how little we know. And when we look back at history, where the lesson is plain to find, we often fail to imagine ourselves in a parallel situation. We ascribe the differences in world view to error, rather than to unexamined but consistent and internally justified choice. |
| — Herbert J. Bernstein, "Idols of Modern Science", [HJB, 38] |
In this Subsection, I discuss the "mechanics" of parsing the
cactus language into the corresponding class of computational
data structures. This provides each sentence of the language
with a translation into a computational form that articulates
its syntactic structure and prepares it for automated modes of
processing and evaluation. For this purpose, it is necessary
to describe the target data structures at a fairly high level
of abstraction only, ignoring the details of address pointers
and record structures and leaving the more operational aspects
of implementation to the imagination of prospective programmers.
In this way, I can put off to another stage of elaboration and
refinement the description of the program that constructs these
pointers and operates on these graph-theoretic data structures.
The structure of a "painted cactus", insofar as it presents itself
to the visual imagination, can be described as follows. The overall
structure, as given by its underlying graph, falls within the species
of graph that is commonly known as a "rooted cactus", and the only novel
feature that it adds to this is that each of its nodes can be "painted"
with a finite sequence of "paints", chosen from a "palette" that is given
by the parametric set {" "} |_| !P! = {m_1} |_| {p_1, ..., p_k}.
It is conceivable, from a purely graph-theoretical point of view, to have
a class of cacti that are painted but not rooted, and so it is frequently
necessary, for the sake of precision, to more exactly pinpoint the target
species of graphical structure as a "painted and rooted cactus" (PARC).
A painted cactus, as a rooted graph, has a distinguished "node" that is
called its "root". By starting from the root and working recursively,
the rest of its structure can be described in the following fashion.
Each "node" of a PARC consists of a graphical "point" or "vertex" plus
a finite sequence of "attachments", described in relative terms as the
attachments "at" or "to" that node. An empty sequence of attachments
defines the "empty node". Otherwise, each attachment is one of three
kinds: a blank, a paint, or a type of PARC that is called a "lobe".
Each "lobe" of a PARC consists of a directed graphical "cycle" plus a
finite sequence of "accoutrements", described in relative terms as the
accoutrements "of" or "on" that lobe. Recalling the circumstance that
every lobe that comes under consideration comes already attached to a
particular node, exactly one vertex of the corresponding cycle is the
vertex that comes from that very node. The remaining vertices of the
cycle have their definitions filled out according to the accoutrements
of the lobe in question. An empty sequence of accoutrements is taken
to be tantamount to a sequence that contains a single empty node as its
unique accoutrement, and either one of these ways of approaching it can
be regarded as defining a graphical structure that is called a "needle"
or a "terminal edge". Otherwise, each accoutrement of a lobe is itself
an arbitrary PARC.
Although this definition of a lobe in terms of its intrinsic structural
components is logically sufficient, it is also useful to characterize the
structure of a lobe in comparative terms, that is, to view the structure
that typifies a lobe in relation to the structures of other PARC's and to
mark the inclusion of this special type within the general run of PARC's.
This approach to the question of types results in a form of description
that appears to be a bit more analytic, at least, in mnemonic or prima
facie terms, if not ultimately more revealing. Working in this vein,
a "lobe" can be characterized as a special type of PARC that is called
an "unpainted root plant" (UR-plant).
An "UR-plant" is a PARC of a simpler sort, at least, with respect to the
recursive ordering of structures that is being followed here. As a type,
it is defined by the presence of two properties, that of being "planted"
and that of having an "unpainted root". These are defined as follows:
1. A PARC is "planted" if its list of attachments has just one PARC.
2. A PARC is "UR" if its list of attachments has no blanks or paints.
In short, an UR-planted PARC has a single PARC as its only attachment,
and since this attachment is prevented from being a blank or a paint,
the single attachment at its root has to be another sort of structure,
that which we call a "lobe".
To express the description of a PARC in terms of its nodes, each node
can be specified in the fashion of a functional expression, letting a
citation of the generic function name "Node" be followed by a list of
arguments that enumerates the attachments of the node in question, and
letting a citation of the generic function name "Lobe" be followed by a
list of arguments that details the accoutrements of the lobe in question.
Thus, one can write expressions of the following forms:
1. Node^0 = Node()
= a node with no attachments.
Node^k_j C_j = Node(C_1, ..., C_k)
= a node with the attachments C_1, ..., C_k.
2. Lobe^0 = Lobe()
= a lobe with no accoutrements.
Lobe^k_j C_j = Lobe(C_1, ..., C_k)
= a lobe with the accoutrements C_1, ..., C_k.
Working from a structural description of the cactus language,
or any suitable formal grammar for !C!(!P!), it is possible to
give a recursive definition of the function called "Parse" that
maps each sentence in PARCE(!P!) to the corresponding graph in
PARC(!P!). One way to do this proceeds as follows:
1. The parse of the concatenation Conc^k of the k sentences S_j,
for j = 1 to k, is defined recursively as follows:
a. Parse(Conc^0) = Node^0.
b. For k > 0,
Parse(Conc^k_j S_j) = Node^k_j Parse(S_j).
2. The parse of the surcatenation Surc^k of the k sentences S_j,
for j = 1 to k, is defined recursively as follows:
a. Parse(Surc^0) = Lobe^0.
b. For k > 0,
Parse(Surc^k_j S_j) = Lobe^k_j Parse(S_j).
For ease of reference, Table 12 summarizes the mechanics of these parsing rules.
Table 12. Algorithmic Translation Rules
o------------------------o---------o------------------------o
| | Parse | |
| Sentence in PARCE | --> | Graph in PARC |
o------------------------o---------o------------------------o
| | | |
| Conc^0 | --> | Node^0 |
| | | |
| Conc^k_j S_j | --> | Node^k_j Parse(S_j) |
| | | |
| Surc^0 | --> | Lobe^0 |
| | | |
| Surc^k_j S_j | --> | Lobe^k_j Parse(S_j) |
| | | |
o------------------------o---------o------------------------o
A "substructure" of a PARC is defined recursively as follows. Starting
at the root node of the cactus C, any attachment is a substructure of C.
If a substructure is a blank or a paint, then it constitutes a minimal
substructure, meaning that no further substructures of C arise from it.
If a substructure is a lobe, then each one of its accoutrements is also
a substructure of C, and has to be examined for further substructures.
The concept of substructure can be used to define varieties of deletion
and erasure operations that respect the structure of the abstract graph.
For the purposes of this depiction, a blank symbol " " is treated as
a "primer", in other words, as a "clear paint", a "neutral tint", or
a "white wash". In effect, one is letting m_1 = p_0. In this frame
of discussion, it is useful to make the following distinction:
1. To "delete" a substructure is to replace it with an empty node,
in effect, to reduce the whole structure to a trivial point.
2. To "erase" a substructure is to replace it with a blank symbol,
in effect, to paint it out of the picture or to overwrite it.
A "bare" PARC, loosely referred to as a "bare cactus", is a PARC on the
empty palette !P! = {}. In other veins, a bare cactus can be described
in several different ways, depending on how the form arises in practice.
1. Leaning on the definition of a bare PARCE, a bare PARC can be
described as the kind of a parse graph that results from parsing
a bare cactus expression, in other words, as the kind of a graph
that issues from the requirements of processing a sentence of
the bare cactus language !C!^0 = PARCE^0.
2. To express it more in its own terms, a bare PARC can be defined
by tracing the recursive definition of a generic PARC, but then
by detaching an independent form of description from the source
of that analogy. The method is sufficiently sketched as follows:
a. A "bare PARC" is a PARC whose attachments
are limited to blanks and "bare lobes".
b. A "bare lobe" is a lobe whose accoutrements
are limited to bare PARC's.
3. In practice, a bare cactus is usually encountered in the process
of analyzing or handling an arbitrary PARC, the circumstances of
which frequently call for deleting or erasing all of its paints.
In particular, this generally makes it easier to observe the
various properties of its underlying graphical structure.
The Cactus Language : Semantics
|
Alas, and yet what are you, my written and painted thoughts! It is not long ago that you were still so many-coloured, young and malicious, so full of thorns and hidden spices you made me sneeze and laugh — and now? You have already taken off your novelty and some of you, I fear, are on the point of becoming truths: they already look so immortal, so pathetically righteous, so boring! |
| — Nietzsche, Beyond Good and Evil, [Nie-2, ¶ 296] |
In this Subsection, I describe a particular semantics for the
painted cactus language, telling what meanings I aim to attach
to its bare syntactic forms. This supplies an "interpretation"
for this parametric family of formal languages, but it is good
to remember that it forms just one of many such interpretations
that are conceivable and even viable. In deed, the distinction
between the object domain and the sign domain can be observed in
the fact that many languages can be deployed to depict the same
set of objects and that any language worth its salt is bound to
to give rise to many different forms of interpretive saliency.
In formal settings, it is common to speak of "interpretation" as if it
created a direct connection between the signs of a formal language and
the objects of the intended domain, in other words, as if it determined
the denotative component of a sign relation. But a closer attention to
what goes on reveals that the process of interpretation is more indirect,
that what it does is to provide each sign of a prospectively meaningful
source language with a translation into an already established target
language, where "already established" means that its relationship to
pragmatic objects is taken for granted at the moment in question.
With this in mind, it is clear that interpretation is an affair of signs
that at best respects the objects of all of the signs that enter into it,
and so it is the connotative aspect of semiotics that is at stake here.
There is nothing wrong with my saying that I interpret a sentence of a
formal language as a sign that refers to a function or to a proposition,
so long as you understand that this reference is likely to be achieved
by way of more familiar and perhaps less formal signs that you already
take to denote those objects.
On entering a context where a logical interpretation is intended for the
sentences of a formal language there are a few conventions that make it
easier to make the translation from abstract syntactic forms to their
intended semantic senses. Although these conventions are expressed in
unnecessarily colorful terms, from a purely abstract point of view, they
do provide a useful array of connotations that help to negotiate what is
otherwise a difficult transition. This terminology is introduced as the
need for it arises in the process of interpreting the cactus language.
The task of this Subsection is to specify a "semantic function" for
the sentences of the cactus language !L! = !C!(!P!), in other words,
to define a mapping that "interprets" each sentence of !C!(!P!) as
a sentence that says something, as a sentence that bears a meaning,
in short, as a sentence that denotes a proposition, and thus as a
sign of an indicator function. When the syntactic sentences of a
formal language are given a referent significance in logical terms,
for example, as denoting propositions or indicator functions, then
each form of syntactic combination takes on a corresponding form
of logical significance.
By way of providing a logical interpretation for the cactus language,
I introduce a family of operators on indicator functions that are
called "propositional connectives", and I distinguish these from
the associated family of syntactic combinations that are called
"sentential connectives", where the relationship between these
two realms of connection is exactly that between objects and
their signs. A propositional connective, as an entity of a
well-defined functional and operational type, can be treated
in every way as a logical or a mathematical object, and thus
as the type of object that can be denoted by the corresponding
form of syntactic entity, namely, the sentential connective that
is appropriate to the case in question.
There are two basic types of connectives, called the "blank connectives"
and the "bound connectives", respectively, with one connective of each
type for each natural number k = 0, 1, 2, 3, ... .
1. The "blank connective" of k places is signified by the
concatenation of the k sentences that fill those places.
For the special case of k = 0, the "blank connective" is taken to
be an empty string or a blank symbol -- it does not matter which,
since both are assigned the same denotation among propositions.
For the generic case of k > 0, the "blank connective" takes
the form "S_1 · ... · S_k". In the type of data that is
called a "text", the raised dots "·" are usually omitted,
supplanted by whatever number of spaces and line breaks
serve to improve the readability of the resulting text.
2. The "bound connective" of k places is signified by the
surcatenation of the k sentences that fill those places.
For the special case of k = 0, the "bound connective" is taken to
be an expression of the form "-()-", "-( )-", "-( )-", and so on,
with any number of blank symbols between the parentheses, all of
which are assigned the same logical denotation among propositions.
For the generic case of k > 0, the "bound connective" takes the
form "-(S_1, ..., S_k)-".
At this point, there are actually two different "dialects", "scripts",
or "modes" of presentation for the cactus language that need to be
interpreted, in other words, that need to have a semantic function
defined on their domains.
a. There is the literal formal language of strings in PARCE(!P!),
the "painted and rooted cactus expressions" that constitute
the langauge !L! = !C!(!P!) c !A!* = (!M! |_| !P!)*.
b. There is the figurative formal language of graphs in PARC(!P!),
the "painted and rooted cacti" themselves, a parametric family
of graphs or a species of computational data structures that
is graphically analogous to the language of literal strings.
Of course, these two modalities of formal language, like written and
spoken natural languages, are meant to have compatible interpretations,
and so it is usually sufficient to give just the meanings of either one.
All that remains is to provide a "codomain" or a "target space" for the
intended semantic function, in other words, to supply a suitable range
of logical meanings for the memberships of these languages to map into.
Out of the many interpretations that are formally possible to arrange,
one way of doing this proceeds by making the following definitions:
1. The "conjunction" Conj^J_j Q_j of a set of propositions, {Q_j : j in J},
is a proposition that is true if and only if each one of the Q_j is true.
Conj^J_j Q_j is true <=> Q_j is true for every j in J.
2. The "surjunction" Surj^J_j Q_j of a set of propositions, {Q_j : j in J},
is a proposition that is true if and only if just one of the Q_j is untrue.
Surj^J_j Q_j is true <=> Q_j is untrue for unique j in J.
If the number of propositions that are being joined together is finite,
then the conjunction and the surjunction can be represented by means of
sentential connectives, incorporating the sentences that represent these
propositions into finite strings of symbols.
If J is finite, for instance, if J constitutes the interval j = 1 to k,
and if each proposition Q_j is represented by a sentence S_j, then the
following strategies of expression are open:
1. The conjunction Conj^J_j Q_j can be represented by a sentence that
is constructed by concatenating the S_j in the following fashion:
Conj^J_j Q_j <-< S_1 S_2 ... S_k.
2. The surjunction Surj^J_j Q_j can be represented by a sentence that
is constructed by surcatenating the S_j in the following fashion:
Surj^J_j Q_j <-< -(S_1, S_2, ..., S_k)-.
If one opts for a mode of interpretation that moves more directly from
the parse graph of a sentence to the potential logical meaning of both
the PARC and the PARCE, then the following specifications are in order:
A cactus rooted at a particular node is taken to represent what that
node denotes, its logical denotation or its logical interpretation.
1. The logical denotation of a node is the logical conjunction of that node's
"arguments", which are defined as the logical denotations of that node's
attachments. The logical denotation of either a blank symbol or an empty
node is the boolean value %1% = "true". The logical denotation of the
paint p_j is the proposition P_j, a proposition that is regarded as
"primitive", at least, with respect to the level of analysis that
is represented in the current instance of !C!(!P!).
2. The logical denotation of a lobe is the logical surjunction of that lobe's
"arguments", which are defined as the logical denotations of that lobe's
accoutrements. As a corollary, the logical denotation of the parse graph
of "-()-", otherwise called a "needle", is the boolean value %0% = "false".
If one takes the point of view that PARC's and PARCE's amount to a
pair of intertranslatable languages for the same domain of objects,
then the "spiny bracket" notation, as in "-[C_j]-" or "-[S_j]-",
can be used on either domain of signs to indicate the logical
denotation of a cactus C_j or the logical denotation of
a sentence S_j, respectively.
Tables 13.1 and 13.2 summarize the relations that serve to connect the
formal language of sentences with the logical language of propositions.
Between these two realms of expression there is a family of graphical
data structures that arise in parsing the sentences and that serve to
facilitate the performance of computations on the indicator functions.
The graphical language supplies an intermediate form of representation
between the formal sentences and the indicator functions, and the form
of mediation that it provides is very useful in rendering the possible
connections between the other two languages conceivable in fact, not to
mention in carrying out the necessary translations on a practical basis.
These Tables include this intermediate domain in their Central Columns.
Between their First and Middle Columns they illustrate the mechanics of
parsing the abstract sentences of the cactus language into the graphical
data structures of the corresponding species. Between their Middle and
Final Columns they summarize the semantics of interpreting the graphical
forms of representation for the purposes of reasoning with propositions.
Table 13.1 Semantic Translations: Functional Form
o-------------------o-----o-------------------o-----o-------------------o
| | Par | | Den | |
| Sentence | --> | Graph | --> | Proposition |
o-------------------o-----o-------------------o-----o-------------------o
| | | | | |
| S_j | --> | C_j | --> | Q_j |
| | | | | |
o-------------------o-----o-------------------o-----o-------------------o
| | | | | |
| Conc^0 | --> | Node^0 | --> | %1% |
| | | | | |
| Conc^k_j S_j | --> | Node^k_j C_j | --> | Conj^k_j Q_j |
| | | | | |
o-------------------o-----o-------------------o-----o-------------------o
| | | | | |
| Surc^0 | --> | Lobe^0 | --> | %0% |
| | | | | |
| Surc^k_j S_j | --> | Lobe^k_j C_j | --> | Surj^k_j Q_j |
| | | | | |
o-------------------o-----o-------------------o-----o-------------------o
Table 13.2 Semantic Translations: Equational Form
o-------------------o-----o-------------------o-----o-------------------o
| | Par | | Den | |
| -[Sentence]- | = | -[Graph]- | = | Proposition |
o-------------------o-----o-------------------o-----o-------------------o
| | | | | |
| -[S_j]- | = | -[C_j]- | = | Q_j |
| | | | | |
o-------------------o-----o-------------------o-----o-------------------o
| | | | | |
| -[Conc^0]- | = | -[Node^0]- | = | %1% |
| | | | | |
| -[Conc^k_j S_j]- | = | -[Node^k_j C_j]- | = | Conj^k_j Q_j |
| | | | | |
o-------------------o-----o-------------------o-----o-------------------o
| | | | | |
| -[Surc^0]- | = | -[Lobe^0]- | = | %0% |
| | | | | |
| -[Surc^k_j S_j]- | = | -[Lobe^k_j C_j]- | = | Surj^k_j Q_j |
| | | | | |
o-------------------o-----o-------------------o-----o-------------------o
Aside from their common topic, the two Tables present slightly different
ways of conceptualizing the operations that go to establish their maps.
Table 13.1 records the functional associations that connect each domain
with the next, taking the triplings of a sentence S_j, a cactus C_j, and
a proposition Q_j as basic data, and fixing the rest by recursion on these.
Table 13.2 records these associations in the form of equations, treating
sentences and graphs as alternative kinds of signs, and generalizing the
spiny bracket operator to indicate the proposition that either denotes.
It should be clear at this point that either scheme of translation puts
the sentences, the graphs, and the propositions that it associates with
each other roughly in the roles of the signs, the interpretants, and the
objects, respectively, whose triples define an appropriate sign relation.
Indeed, the "roughly" can be made "exactly" as soon as the domains of
a suitable sign relation are specified precisely.
A good way to illustrate the action of the conjunction and surjunction
operators is to demonstate how they can be used to construct all of the
boolean functions on k variables, just now, let us say, for k = 0, 1, 2.
A boolean function on 0 variables is just a boolean constant F^0 in the
boolean domain %B% = {%0%, %1%}. Table 14 shows several different ways
of referring to these elements, just for the sake of consistency using
the same format that will be used in subsequent Tables, no matter how
degenerate it tends to appears in the immediate case:
Column 1 lists each boolean element or boolean function under its
ordinary constant name or under a succinct nickname, respectively.
Column 2 lists each boolean function in a style of function name "F^i_j"
that is constructed as follows: The superscript "i" gives the dimension
of the functional domain, that is, the number of its functional variables,
and the subscript "j" is a binary string that recapitulates the functional
values, using the obvious translation of boolean values into binary values.
Column 3 lists the functional values for each boolean function, or possibly
a boolean element appearing in the guise of a function, for each combination
of its domain values.
Column 4 shows the usual expressions of these elements in the cactus language,
conforming to the practice of omitting the strike-throughs in display formats.
Here I illustrate also the useful convention of sending the expression "(())"
as a visible stand-in for the expression of a constantly "true" truth value,
one that would otherwise be represented by a blank expression, and tend to
elude our giving it much notice in the context of more demonstrative texts.
Table 14. Boolean Functions on Zero Variables
o----------o----------o-------------------------------------------o----------o
| Constant | Function | F() | Function |
o----------o----------o-------------------------------------------o----------o
| | | | |
| %0% | F^0_0 | %0% | () |
| | | | |
| %1% | F^0_1 | %1% | (()) |
| | | | |
o----------o----------o-------------------------------------------o----------o
Table 15 presents the boolean functions on one variable, F^1 : %B% -> %B%,
of which there are precisely four. Here, Column 1 codes the contents of
Column 2 in a more concise form, compressing the lists of boolean values,
recorded as bits in the subscript string, into their decimal equivalents.
Naturally, the boolean constants reprise themselves in this new setting
as constant functions on one variable. Thus, one has the synonymous
expressions for constant functions that are expressed in the next
two chains of equations:
| F^1_0 = F^1_00 = %0% : %B% -> %B%
|
| F^1_3 = F^1_11 = %1% : %B% -> %B%
As for the rest, the other two functions are easily recognized as corresponding
to the one-place logical connectives, or the monadic operators on %B%. Thus,
the function F^1_1 = F^1_01 is recognizable as the negation operation, and
the function F^1_2 = F^1_10 is obviously the identity operation.
Table 15. Boolean Functions on One Variable
o----------o----------o-------------------------------------------o----------o
| Function | Function | F(x) | Function |
o----------o----------o---------------------o---------------------o----------o
| | | F(%0%) | F(%1%) | |
o----------o----------o---------------------o---------------------o----------o
| | | | | |
| F^1_0 | F^1_00 | %0% | %0% | ( ) |
| | | | | |
| F^1_1 | F^1_01 | %0% | %1% | (x) |
| | | | | |
| F^1_2 | F^1_10 | %1% | %0% | x |
| | | | | |
| F^1_3 | F^1_11 | %1% | %1% | (( )) |
| | | | | |
o----------o----------o---------------------o---------------------o----------o
Table 16 presents the boolean functions on two variables, F^2 : %B%^2 -> %B%,
of which there are precisely sixteen in number. As before, all of the boolean
functions of fewer variables are subsumed in this Table, though under a set of
alternative names and possibly different interpretations. Just to acknowledge
a few of the more notable pseudonyms:
The constant function %0% : %B%^2 -> %B% appears under the name of F^2_00.
The constant function %1% : %B%^2 -> %B% appears under the name of F^2_15.
The negation and identity of the first variable are F^2_03 and F^2_12, resp.
The negation and identity of the other variable are F^2_05 and F^2_10, resp.
The logical conjunction is given by the function F^2_08 (x, y) = x · y.
The logical disjunction is given by the function F^2_14 (x, y) = ((x)(y)).
Functions expressing the "conditionals", "implications",
or "if-then" statements are given in the following ways:
[x => y] = F^2_11 (x, y) = (x (y)) = [not x without y].
[x <= y] = F^2_13 (x, y) = ((x) y) = [not y without x].
The function that corresponds to the "biconditional",
the "equivalence", or the "if and only" statement is
exhibited in the following fashion:
[x <=> y] = [x = y] = F^2_09 (x, y) = ((x , y)).
Finally, there is a boolean function that is logically associated with
the "exclusive disjunction", "inequivalence", or "not equals" statement,
algebraically associated with the "binary sum" or "bitsum" operation,
and geometrically associated with the "symmetric difference" of sets.
This function is given by:
[x =/= y] = [x + y] = F^2_06 (x, y) = (x , y).
Table 16. Boolean Functions on Two Variables
o----------o----------o-------------------------------------------o----------o
| Function | Function | F(x, y) | Function |
o----------o----------o----------o----------o----------o----------o----------o
| | | %1%, %1% | %1%, %0% | %0%, %1% | %0%, %0% | |
o----------o----------o----------o----------o----------o----------o----------o
| | | | | | | |
| F^2_00 | F^2_0000 | %0% | %0% | %0% | %0% | () |
| | | | | | | |
| F^2_01 | F^2_0001 | %0% | %0% | %0% | %1% | (x)(y) |
| | | | | | | |
| F^2_02 | F^2_0010 | %0% | %0% | %1% | %0% | (x) y |
| | | | | | | |
| F^2_03 | F^2_0011 | %0% | %0% | %1% | %1% | (x) |
| | | | | | | |
| F^2_04 | F^2_0100 | %0% | %1% | %0% | %0% | x (y) |
| | | | | | | |
| F^2_05 | F^2_0101 | %0% | %1% | %0% | %1% | (y) |
| | | | | | | |
| F^2_06 | F^2_0110 | %0% | %1% | %1% | %0% | (x, y) |
| | | | | | | |
| F^2_07 | F^2_0111 | %0% | %1% | %1% | %1% | (x y) |
| | | | | | | |
| F^2_08 | F^2_1000 | %1% | %0% | %0% | %0% | x y |
| | | | | | | |
| F^2_09 | F^2_1001 | %1% | %0% | %0% | %1% | ((x, y)) |
| | | | | | | |
| F^2_10 | F^2_1010 | %1% | %0% | %1% | %0% | y |
| | | | | | | |
| F^2_11 | F^2_1011 | %1% | %0% | %1% | %1% | (x (y)) |
| | | | | | | |
| F^2_12 | F^2_1100 | %1% | %1% | %0% | %0% | x |
| | | | | | | |
| F^2_13 | F^2_1101 | %1% | %1% | %0% | %1% | ((x) y) |
| | | | | | | |
| F^2_14 | F^2_1110 | %1% | %1% | %1% | %0% | ((x)(y)) |
| | | | | | | |
| F^2_15 | F^2_1111 | %1% | %1% | %1% | %1% | (()) |
| | | | | | | |
o----------o----------o----------o----------o----------o----------o----------o
Let me now address one last question that may have occurred to some.
What has happened, in this suggested scheme of functional reasoning,
to the distinction that is quite pointedly made by careful logicians
between (1) the connectives called "conditionals" and symbolized by
the signs "->" and "<-", and (2) the assertions called "implications"
and symbolized by the signs "=>" and "<=", and, in a related question:
What has happened to the distinction that is equally insistently made
between (3) the connective called the "biconditional" and signified by
the sign "<->" and (4) the assertion that is called an "equivalence"
and signified by the sign "<=>"? My answer is this: For my part,
I am deliberately avoiding making these distinctions at the level
of syntax, preferring to treat them instead as distinctions in
the use of boolean functions, turning on whether the function
is mentioned directly and used to compute values on arguments,
or whether its inverse is being invoked to indicate the fibers
of truth or untruth under the propositional function in question.
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
In this Subsection, I finally bring together many of what may
have appeared to be wholly independent threads of development,
in the hope of paying off a percentage of my promissory notes,
even if a goodly number my creditors have no doubt long since
forgotten, if not exactly forgiven the debentures in question.
For ease of reference, I repeat here a couple of the
definitions that are needed again in this discussion.
| A "boolean connection" of degree k, also known as a "boolean function"
| on k variables, is a map of the form F : %B%^k -> %B%. In other words,
| a boolean connection of degree k is a proposition about things in the
| universe of discourse X = %B%^k.
|
| An "imagination" of degree k on X is a k-tuple of propositions
| about things in the universe X. By way of displaying the kinds
| of notation that are used to express this idea, the imagination
| #f# = <f_1, ..., f_k> is can be given as a sequence of indicator
| functions f_j : X -> %B%, for j = 1 to k. All of these features
| of the typical imagination #f# can be summed up in either one of
| two ways: either in the form of a membership statement, stating
| words to the effect that #f# belongs to the space (X -> %B%)^k,
| or in the form of the type declaration that #f# : (X -> %B%)^k,
| though perhaps the latter specification is slightly more precise
| than the former.
The definition of the "stretch" operation and the uses of the
various brands of denotational operators can be reviewed here:
055. http://suo.ieee.org/email/msg07466.html
057. http://suo.ieee.org/email/msg07469.html
070. http://suo.ieee.org/ontology/msg03473.html
071. http://suo.ieee.org/ontology/msg03479.html
Stretching Exercises
Taking up the preceding arrays of particular connections, namely,
the boolean functions on two or less variables, it possible to
illustrate the use of the stretch operation in a variety of
concrete cases.
For example, suppose that F is a connection of the form F : %B%^2 -> %B%,
that is, any one of the sixteen possibilities in Table 16, while p and q
are propositions of the form p, q : X -> %B%, that is, propositions about
things in the universe X, or else the indicators of sets contained in X.
Then one has the imagination #f# = <f_1, f_2> = <p, q> : (X -> %B%)^2,
and the stretch of the connection F to #f# on X amounts to a proposition
F^$ <p, q> : X -> %B%, usually written as "F^$ (p, q)" and vocalized as
the "stretch of F to p and q". If one is concerned with many different
propositions about things in X, or if one is abstractly indifferent to
the particular choices for p and q, then one can detach the operator
F^$ : (X -> %B%)^2 -> (X -> %B%), called the "stretch of F over X",
and consider it in isolation from any concrete application.
When the "cactus notation" is used to represent boolean functions,
a single "$" sign at the end of the expression is enough to remind
a reader that the connections are meant to be stretched to several
propositions on a universe X.
For instance, take the connection F : %B%^2 -> %B% such that:
F(x, y) = F^2_06 (x, y) = -(x, y)-.
This connection is the boolean function on a couple of variables x, y
that yields a value of %1% if and only if just one of x, y is not %1%,
that is, if and only if just one of x, y is %1%. There is clearly an
isomorphism between this connection, viewed as an operation on the
boolean domain %B% = {%0%, %1%}, and the dyadic operation on binary
values x, y in !B! = GF(2) that is otherwise known as "x + y".
The same connection F : %B%^2 -> %B% can also be read as a proposition
about things in the universe X = %B%^2. If S is a sentence that denotes
the proposition F, then the corresponding assertion says exactly what one
otherwise states by uttering "x is not equal to y". In such a case, one
has -[S]- = F, and all of the following expressions are ordinarily taken
as equivalent descriptions of the same set:
[| -[S]- |] = [| F |]
= F^(-1)(%1%)
= {<x, y> in %B%^2 : S}
= {<x, y> in %B%^2 : F(x, y) = %1%}
= {<x, y> in %B%^2 : F(x, y)}
= {<x, y> in %B%^2 : -(x, y)- = %1%}
= {<x, y> in %B%^2 : -(x, y)- }
= {<x, y> in %B%^2 : x exclusive-or y}
= {<x, y> in %B%^2 : just one true of x, y}
= {<x, y> in %B%^2 : x not equal to y}
= {<x, y> in %B%^2 : x <=/=> y}
= {<x, y> in %B%^2 : x =/= y}
= {<x, y> in %B%^2 : x + y}.
Notice the slight distinction, that I continue to maintain at this point,
between the logical values {false, true} and the algebraic values {0, 1}.
This makes it legitimate to write a sentence directly into the right side
of the set-builder expression, for instance, weaving the sentence S or the
sentence "x is not equal to y" into the context "{<x, y> in %B%^2 : ... }",
thereby obtaining the corresponding expressions listed above, while the
proposition F(x, y) can also be asserted more directly without equating
it to %1%, since it already has a value in {false, true}, and thus can
be taken as tantamount to an actual sentence.
If the appropriate safeguards can be kept in mind, avoiding all danger of
confusing propositions with sentences and sentences with assertions, then
the marks of these distinctions need not be forced to clutter the account
of the more substantive indications, that is, the ones that really matter.
If this level of understanding can be achieved, then it may be possible
to relax these restrictions, along with the absolute dichotomy between
algebraic and logical values, which tends to inhibit the flexibility
of interpretation.
This covers the properties of the connection F(x, y) = -(x, y)-,
treated as a proposition about things in the universe X = %B%^2.
Staying with this same connection, it is time to demonstrate how
it can be "stretched" into an operator on arbitrary propositions.
To continue the exercise, let p and q be arbitrary propositions about
things in the universe X, that is, maps of the form p, q : X -> %B%,
and suppose that p, q are indicator functions of the sets P, Q c X,
respectively. In other words, one has the following set of data:
| p = -{P}- : X -> %B%
|
| q = -{Q}- : X -> %B%
|
| <p, q> = < -{P}- , -{Q}- > : (X -> %B%)^2
Then one has an operator F^$, the stretch of the connection F over X,
and a proposition F^$ (p, q), the stretch of F to <p, q> on X, with
the following properties:
| F^$ = -( , )-^$ : (X -> %B%)^2 -> (X -> %B%)
|
| F^$ (p, q) = -(p, q)-^$ : X -> %B%
As a result, the application of the proposition F^$ (p, q) to each x in X
yields a logical value in %B%, all in accord with the following equations:
| F^$ (p, q)(x) = -(p, q)-^$ (x) in %B%
|
| ^ ^
| | |
| = =
| | |
| v v
|
| F(p(x), q(x)) = -(p(x), q(x))- in %B%
For each choice of propositions p and q about things in X, the stretch of
F to p and q on X is just another proposition about things in X, a simple
proposition in its own right, no matter how complex its current expression
or its present construction as F^$ (p, q) = -(p, q)^$ makes it appear in
relation to p and q. Like any other proposition about things in X, it
indicates a subset of X, namely, the fiber that is variously described
in the following ways:
[| F^$ (p, q) |] = [| -(p, q)-^$ |]
= (F^$ (p, q))^(-1)(%1%)
= {x in X : F^$ (p, q)(x)}
= {x in X : -(p, q)-^$ (x)}
= {x in X : -(p(x), q(x))- }
= {x in X : p(x) ± q(x)}
= {x in X : p(x) =/= q(x)}
= {x in X : -{P}- (x) =/= -{Q}- (x)}
= {x in X : x in P <=/=> x in Q}
= {x in X : x in P-Q or x in Q-P}
= {x in X : x in P-Q |_| Q-P}
= {x in X : x in P ± Q}
= P ± Q c X
= [|p|] ± [|q|] c X.
Which was to be shown.
References
- Bernstein, Herbert J. (1987), "Idols of Modern Science and The Reconstruction of Knowledge", pp. 37-68 in Marcus G. Raskin and Herbert J. Bernstein, New Ways of Knowing : The Sciences, Society, and Reconstructive Knowledge', Rowman and Littlefield, Totowa, NJ, 1987.
- Nietzsche, Friedrich, Beyond Good and Evil : Prelude to a Philosophy of the Future, R.J. Hollingdale (trans.), Michael Tanner (intro.), Penguin Books, London, UK, 1973, 1990.
- Raskin, Marcus G., and Bernstein, Herbert J. (1987, eds.), New Ways of Knowing : The Sciences, Society, and Reconstructive Knowledge', Rowman and Littlefield, Totowa, NJ, 1987.
Document History
| Subject: Inquiry Driven Systems : An Inquiry Into Inquiry | Contact: Jon Awbrey <jawbrey@oakland.edu> | Version: Draft 8.70 | Created: 23 Jun 1996 | Revised: 06 Jan 2002 | Advisor: M.A. Zohdy | Setting: Oakland University, Rochester, Michigan, USA | Excerpt: Section 1.3.10 (Recurring Themes) | Excerpt: Subsections 1.3.10.8 - 1.3.10.13
Notes Found in a Cactus Patch
Cactus Language
Table 13 illustrates the "existential interpretation"
of cactus graphs and cactus expressions by providing
English translations for a few of the most basic and
commonly occurring forms.
Even though I do most of my thinking in the existential interpretation,
I will continue to speak of these forms as "logical graphs", because
I think it is an important fact about them that the formal validity
of the axioms and theorems is not dependent on the choice between
the entitative and the existential interpretations.
The first extension is the "reflective extension of logical graphs" (RefLog).
It is obtained by generalizing the negation operator "(_)" in a certain way,
calling "(_)" the "controlled", "moderated", or "reflective" negation operator
of order 1, then adding another such operator for each finite k = 2, 3, ... .
In sum, these operators are symbolized by bracketed argument lists as follows:
"(_)", "(_,_)", "(_,_,_)", ..., where the number of slots is the order of the
reflective negation operator in question.
The cactus graph and the cactus expression
shown here are both described as a "spike".
o---------------------------------------o
| |
| o |
| | |
| @ |
| |
o---------------------------------------o
| ( ) |
o---------------------------------------o
The rule of reduction for a lobe is:
x_1 x_2 ... x_k
o-----o--- ... ---o
\ /
\ /
\ /
\ /
\ /
\ /
\ /
\ /
@ = @
if and only if exactly one of the x_j is a spike.
In Ref Log, an expression of the form "(( e_1 ),( e_2 ),( ... ),( e_k ))"
expresses the fact that "exactly one of the e_j is true, for j = 1 to k".
Expressions of this form are called "universal partition" expressions, and
they parse into a type of graph called a "painted and rooted cactus" (PARC):
e_1 e_2 ... e_k
o o o
| | |
o-----o--- ... ---o
\ /
\ /
\ /
\ /
\ /
\ /
\ /
\ /
@
| ( x1, x2, ..., xk ) = [blank]
|
| iff
|
| Just one of the arguments x1, x2, ..., xk = ()
The interpretation of these operators, read as assertions
about the values of their listed arguments, is as follows:
1. Existential Interpretation: "Just one of the k argument is false."
2. Entitative Interpretation: "Not just one of the k arguments is true."
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
o-------------------o-------------------o-------------------o
| Graph | String | Translation |
o-------------------o-------------------o-------------------o
| | | |
| @ | " " | true. |
o-------------------o-------------------o-------------------o
| | | |
| o | | |
| | | | |
| @ | ( ) | untrue. |
o-------------------o-------------------o-------------------o
| | | |
| r | | |
| @ | r | r. |
o-------------------o-------------------o-------------------o
| | | |
| r | | |
| o | | |
| | | | |
| @ | (r) | not r. |
o-------------------o-------------------o-------------------o
| | | |
| r s t | | |
| @ | r s t | r and s and t. |
o-------------------o-------------------o-------------------o
| | | |
| r s t | | |
| o o o | | |
| \|/ | | |
| o | | |
| | | | |
| @ | ((r)(s)(t)) | r or s or t. |
o-------------------o-------------------o-------------------o
| | | r implies s. |
| r s | | |
| o---o | | if r then s. |
| | | | |
| @ | (r (s)) | no r sans s. |
o-------------------o-------------------o-------------------o
| | | |
| r s | | |
| o---o | | r exclusive-or s. |
| \ / | | |
| @ | (r , s) | r not equal to s. |
o-------------------o-------------------o-------------------o
| | | |
| r s | | |
| o---o | | |
| \ / | | |
| o | | r if & only if s. |
| | | | |
| @ | ((r , s)) | r equates with s. |
o-------------------o-------------------o-------------------o
| | | |
| r s t | | |
| o--o--o | | |
| \ / | | |
| \ / | | just one false |
| @ | (r , s , t) | out of r, s, t. |
o-------------------o-------------------o-------------------o
| | | |
| r s t | | |
| o o o | | |
| | | | | | |
| o--o--o | | |
| \ / | | |
| \ / | | just one true |
| @ | ((r),(s),(t)) | among r, s, t. |
o-------------------o-------------------o-------------------o
| | | genus t over |
| r s | | species r, s. |
| o o | | |
| t | | | | partition t |
| o--o--o | | among r & s. |
| \ / | | |
| \ / | | whole pie t: |
| @ | ( t ,(r),(s)) | slices r, s. |
o-------------------o-------------------o-------------------o
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
Table 13. The Existential Interpretation
o-------------------o-------------------o-------------------o
| Cactus Graph | Cactus Expression | Existential |
| | | Interpretation |
o-------------------o-------------------o-------------------o
| | | |
| @ | " " | true. |
| | | |
o-------------------o-------------------o-------------------o
| | | |
| o | | |
| | | | |
| @ | ( ) | untrue. |
| | | |
o-------------------o-------------------o-------------------o
| | | |
| a | | |
| @ | a | a. |
| | | |
o-------------------o-------------------o-------------------o
| | | |
| a | | |
| o | | |
| | | | |
| @ | (a) | not a. |
| | | |
o-------------------o-------------------o-------------------o
| | | |
| a b c | | |
| @ | a b c | a and b and c. |
| | | |
o-------------------o-------------------o-------------------o
| | | |
| a b c | | |
| o o o | | |
| \|/ | | |
| o | | |
| | | | |
| @ | ((a)(b)(c)) | a or b or c. |
| | | |
o-------------------o-------------------o-------------------o
| | | |
| | | a implies b. |
| a b | | |
| o---o | | if a then b. |
| | | | |
| @ | (a (b)) | no a sans b. |
| | | |
o-------------------o-------------------o-------------------o
| | | |
| a b | | |
| o---o | | a exclusive-or b. |
| \ / | | |
| @ | (a , b) | a not equal to b. |
| | | |
o-------------------o-------------------o-------------------o
| | | |
| a b | | |
| o---o | | |
| \ / | | |
| o | | a if & only if b. |
| | | | |
| @ | ((a , b)) | a equates with b. |
| | | |
o-------------------o-------------------o-------------------o
| | | |
| a b c | | |
| o--o--o | | |
| \ / | | |
| \ / | | just one false |
| @ | (a , b , c) | out of a, b, c. |
| | | |
o-------------------o-------------------o-------------------o
| | | |
| a b c | | |
| o o o | | |
| | | | | | |
| o--o--o | | |
| \ / | | |
| \ / | | just one true |
| @ | ((a),(b),(c)) | among a, b, c. |
| | | |
o-------------------o-------------------o-------------------o
| | | |
| | | genus a over |
| b c | | species b, c. |
| o o | | |
| a | | | | partition a |
| o--o--o | | among b & c. |
| \ / | | |
| \ / | | whole pie a: |
| @ | ( a ,(b),(c)) | slices b, c. |
| | | |
o-------------------o-------------------o-------------------o
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
Table 14. The Entitative Interpretation
o-------------------o-------------------o-------------------o
| Cactus Graph | Cactus Expression | Entitative |
| | | Interpretation |
o-------------------o-------------------o-------------------o
| | | |
| @ | " " | untrue. |
| | | |
o-------------------o-------------------o-------------------o
| | | |
| o | | |
| | | | |
| @ | ( ) | true. |
| | | |
o-------------------o-------------------o-------------------o
| | | |
| a | | |
| @ | a | a. |
| | | |
o-------------------o-------------------o-------------------o
| | | |
| a | | |
| o | | |
| | | | |
| @ | (a) | not a. |
| | | |
o-------------------o-------------------o-------------------o
| | | |
| a b c | | |
| @ | a b c | a or b or c. |
| | | |
o-------------------o-------------------o-------------------o
| | | |
| a b c | | |
| o o o | | |
| \|/ | | |
| o | | |
| | | | |
| @ | ((a)(b)(c)) | a and b and c. |
| | | |
o-------------------o-------------------o-------------------o
| | | |
| | | a implies b. |
| | | |
| o a | | if a then b. |
| | | | |
| @ b | (a) b | not a, or b. |
| | | |
o-------------------o-------------------o-------------------o
| | | |
| a b | | |
| o---o | | a if & only if b. |
| \ / | | |
| @ | (a , b) | a equates with b. |
| | | |
o-------------------o-------------------o-------------------o
| | | |
| a b | | |
| o---o | | |
| \ / | | |
| o | | a exclusive-or b. |
| | | | |
| @ | ((a , b)) | a not equal to b. |
| | | |
o-------------------o-------------------o-------------------o
| | | |
| a b c | | |
| o--o--o | | |
| \ / | | |
| \ / | | not just one true |
| @ | (a , b , c) | out of a, b, c. |
| | | |
o-------------------o-------------------o-------------------o
| | | |
| a b c | | |
| o--o--o | | |
| \ / | | |
| \ / | | |
| o | | |
| | | | just one true |
| @ | ((a , b , c)) | among a, b, c. |
| | | |
o-------------------o-------------------o-------------------o
| | | |
| a | | |
| o | | genus a over |
| | b c | | species b, c. |
| o--o--o | | |
| \ / | | partition a |
| \ / | | among b & c. |
| o | | |
| | | | whole pie a: |
| @ | ( a ,(b),(c)) | slices b, c. |
| | | |
o-------------------o-------------------o-------------------o
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
o-----------------o-----------------o-----------------o-----------------o
| Graph | String | Entitative | Existential |
o-----------------o-----------------o-----------------o-----------------o
| | | | |
| @ | " " | untrue. | true. |
o-----------------o-----------------o-----------------o-----------------o
| | | | |
| o | | | |
| | | | | |
| @ | ( ) | true. | untrue. |
o-----------------o-----------------o-----------------o-----------------o
| | | | |
| r | | | |
| @ | r | r. | r. |
o-----------------o-----------------o-----------------o-----------------o
| | | | |
| r | | | |
| o | | | |
| | | | | |
| @ | (r) | not r. | not r. |
o-----------------o-----------------o-----------------o-----------------o
| | | | |
| r s t | | | |
| @ | r s t | r or s or t. | r and s and t. |
o-----------------o-----------------o-----------------o-----------------o
| | | | |
| r s t | | | |
| o o o | | | |
| \|/ | | | |
| o | | | |
| | | | | |
| @ | ((r)(s)(t)) | r and s and t. | r or s or t. |
o-----------------o-----------------o-----------------o-----------------o
| | | | r implies s. |
| | | | |
| o r | | | if r then s. |
| | | | | |
| @ s | (r) s | not r, or s | no r sans s. |
o-----------------o-----------------o-----------------o-----------------o
| | | | r implies s. |
| r s | | | |
| o---o | | | if r then s. |
| | | | | |
| @ | (r (s)) | | no r sans s. |
o-----------------o-----------------o-----------------o-----------------o
| | | | |
| r s | | | |
| o---o | | |r exclusive-or s.|
| \ / | | | |
| @ | (r , s) | |r not equal to s.|
o-----------------o-----------------o-----------------o-----------------o
| | | | |
| r s | | | |
| o---o | | | |
| \ / | | | |
| o | | |r if & only if s.|
| | | | | |
| @ | ((r , s)) | |r equates with s.|
o-----------------o-----------------o-----------------o-----------------o
| | | | |
| r s t | | | |
| o--o--o | | | |
| \ / | | | |
| \ / | | | just one false |
| @ | (r , s , t) | | out of r, s, t. |
o-----------------o-----------------o-----------------o-----------------o
| | | | |
| r s t | | | |
| o o o | | | |
| | | | | | | |
| o--o--o | | | |
| \ / | | | |
| \ / | | | just one true |
| @ | ((r),(s),(t)) | | among r, s, t. |
o-----------------o-----------------o-----------------o-----------------o
| | | | genus t over |
| r s | | | species r, s. |
| o o | | | |
| t | | | | | partition t |
| o--o--o | | | among r & s. |
| \ / | | | |
| \ / | | | whole pie t: |
| @ | ( t ,(r),(s)) | | slices r, s. |
o-----------------o-----------------o-----------------o-----------------o
Differential Logic
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
Note 1
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
One of the first things that you can do, once you
have a really decent calculus for boolean functions
or propositional logic, whatever you want to call it,
is to compute the differentials of these functions or
propositions.
Now there are many ways to dance around this idea,
and I feel like I have tried them all, before one
gets down to acting on it, and there many issues
of interpretation and justification that we will
have to clear up after the fact, that is, before
we can be sure that it all really makes any sense,
but I think this time I'll just jump in, and show
you the form in which this idea first came to me.
Start with a proposition of the form x & y, which
I graph as two labels attached to a root node, so:
o---------------------------------------o
| |
| x y |
| @ |
| |
o---------------------------------------o
| x and y |
o---------------------------------------o
Written as a string, this is just the concatenation "x y".
The proposition xy may be taken as a boolean function f(x, y)
having the abstract type f : B x B -> B, where B = {0, 1} is
read in such a way that 0 means "false" and 1 means "true".
In this style of graphical representation,
the value "true" looks like a blank label
and the value "false" looks like an edge.
o---------------------------------------o
| |
| |
| @ |
| |
o---------------------------------------o
| true |
o---------------------------------------o
o---------------------------------------o
| |
| o |
| | |
| @ |
| |
o---------------------------------------o
| false |
o---------------------------------------o
Back to the proposition xy. Imagine yourself standing
in a fixed cell of the corresponding venn diagram, say,
the cell where the proposition xy is true, as pictured:
o---------------------------------------o
| |
| o o |
| / \ / \ |
| / \ / \ |
| / · \ |
| / /%\ \ |
| / /%%%\ \ |
| / /%%%%%\ \ |
| / /%%%%%%%\ \ |
| / /%%%%%%%%%\ \ |
| o x o%%%%%%%%%%%o y o |
| \ \%%%%%%%%%/ / |
| \ \%%%%%%%/ / |
| \ \%%%%%/ / |
| \ \%%%/ / |
| \ \%/ / |
| \ · / |
| \ / \ / |
| \ / \ / |
| o o |
| |
o---------------------------------------o
Now ask yourself: What is the value of the
proposition xy at a distance of dx and dy
from the cell xy where you are standing?
Don't think about it -- just compute:
o---------------------------------------o
| |
| dx o o dy |
| / \ / \ |
| x o---@---o y |
| |
o---------------------------------------o
| (x + dx) and (y + dy) |
o---------------------------------------o
To make future graphs easier to draw in Ascii land,
I will use devices like @=@=@ and o=o=o to identify
several nodes into one, as in this next redrawing:
o---------------------------------------o
| |
| x dx y dy |
| o---o o---o |
| \ | | / |
| \ | | / |
| \| |/ |
| @=@ |
| |
o---------------------------------------o
| (x + dx) and (y + dy) |
o---------------------------------------o
However you draw it, these expressions follow because the
expression x + dx, where the plus sign indicates (mod 2)
addition in B, and thus corresponds to an exclusive-or
in logic, parses to a graph of the following form:
o---------------------------------------o
| |
| x dx |
| o---o |
| \ / |
| @ |
| |
o---------------------------------------o
| x + dx |
o---------------------------------------o
Next question: What is the difference between
the value of the proposition xy "over there" and
the value of the proposition xy where you are, all
expressed as general formula, of course? Here 'tis:
o---------------------------------------o
| |
| x dx y dy |
| o---o o---o |
| \ | | / |
| \ | | / |
| \| |/ x y |
| o=o-----------o |
| \ / |
| \ / |
| \ / |
| \ / |
| \ / |
| \ / |
| @ |
| |
o---------------------------------------o
| ((x + dx) & (y + dy)) - xy |
o---------------------------------------o
Oh, I forgot to mention: Computed over B,
plus and minus are the very same operation.
This will make the relationship between the
differential and the integral parts of the
resulting calculus slightly stranger than
usual, but never mind that now.
Last question, for now: What is the value of this expression
from your current standpoint, that is, evaluated at the point
where xy is true? Well, substituting 1 for x and 1 for y in
the graph amounts to the same thing as erasing those labels:
o---------------------------------------o
| |
| dx dy |
| o---o o---o |
| \ | | / |
| \ | | / |
| \| |/ |
| o=o-----------o |
| \ / |
| \ / |
| \ / |
| \ / |
| \ / |
| \ / |
| @ |
| |
o---------------------------------------o
| ((1 + dx) & (1 + dy)) - 1·1 |
o---------------------------------------o
And this is equivalent to the following graph:
o---------------------------------------o
| |
| dx dy |
| o o |
| \ / |
| o |
| | |
| @ |
| |
o---------------------------------------o
| dx or dy |
o---------------------------------------o
Have to break here -- will explain later.
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
Note 2
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
We have just met with the fact that
the differential of the "and" is
the "or" of the differentials.
x and y --Diff--> dx or dy.
o---------------------------------------o
| |
| dx dy |
| o o |
| \ / |
| o |
| x y | |
| @ --Diff--> @ |
| |
o---------------------------------------o
| x y --Diff--> ((dx)(dy)) |
o---------------------------------------o
It will be necessary to develop a more refined analysis of
this statement directly, but that is roughly the nub of it.
If the form of the above statement reminds you of DeMorgan's rule,
it is no accident, as differentiation and negation turn out to be
closely related operations. Indeed, one can find discussions of
logical difference calculus in the Boole-DeMorgan correspondence
and Peirce also made use of differential operators in a logical
context, but the exploration of these ideas has been hampered
by a number of factors, not the least of which being a syntax
adequate to handle the complexity of expressions that evolve.
For my part, it was definitely a case of the calculus being smarter
than the calculator thereof. The graphical pictures were catalytic
in their power over my thinking process, leading me so quickly past
so many obstructions that I did not have time to think about all of
the difficulties that would otherwise have inhibited the derivation.
It did eventually became necessary to write all this up in a linear
script, and to deal with the various problems of interpretation and
justification that I could imagine, but that took another 120 pages,
and so, if you don't like this intuitive approach, then let that be
your sufficient notice.
Let us run through the initial example again, this time attempting
to interpret the formulas that develop at each stage along the way.
We begin with a proposition or a boolean function f(x, y) = xy.
o---------------------------------------o
| |
| o o |
| / \ / \ |
| / \ / \ |
| / · \ |
| / /`\ \ |
| / /```\ \ |
| / /`````\ \ |
| / /```````\ \ |
| / /`````````\ \ |
| o x o`````f`````o y o |
| \ \`````````/ / |
| \ \```````/ / |
| \ \`````/ / |
| \ \```/ / |
| \ \`/ / |
| \ · / |
| \ / \ / |
| \ / \ / |
| o o |
| |
o---------------------------------------o
| |
| x y |
| @ |
| |
o---------------------------------------o
| f = x y |
o---------------------------------------o
A function like this has an abstract type and a concrete type.
The abstract type is what we invoke when we write things like
f : B x B -> B or f : B^2 -> B. The concrete type takes into
account the qualitative dimensions or the "units" of the case,
which can be explained as follows.
1. Let X be the set of values {(x), x} = {not x, x}.
2. Let Y be the set of values {(y), y} = {not y, y}.
Then interpret the usual propositions about x, y
as functions of the concrete type f : X x Y -> B.
We are going to consider various "operators" on these functions.
Here, an operator F is a function that takes one function f into
another function Ff.
The first couple of operators that we need to consider are logical analogues
of those that occur in the classical "finite difference calculus", namely:
1. The "difference" operator [capital Delta], written here as D.
2. The "enlargement" operator [capital Epsilon], written here as E.
These days, E is more often called the "shift" operator.
In order to describe the universe in which these operators operate,
it will be necessary to enlarge our original universe of discourse.
We mount up from the space U = X x Y to its "differential extension",
EU = U x dU = X x Y x dX x dY, with dX = {(dx), dx} and dY = {(dy), dy}.
The interpretations of these new symbols can be diverse, but the easiest
for now is just to say that dx means "change x" and dy means "change y".
To draw the differential extension EU of our present universe U = X x Y
as a venn diagram, it would take us four logical dimensions X, Y, dX, dY,
but we can project a suggestion of what it's about on the universe X x Y
by drawing arrows that cross designated borders, labeling the arrows as
dx when crossing the border between x and (x) and as dy when crossing
the border between y and (y), in either direction, in either case.
o---------------------------------------o
| |
| o o |
| / \ / \ |
| / \ / \ |
| / · \ |
| / dy /`\ dx \ |
| / ^ /```\ ^ \ |
| / \`````/ \ |
| / /`\```/`\ \ |
| / /```\`/```\ \ |
| o x o`````o`````o y o |
| \ \`````````/ / |
| \ \```````/ / |
| \ \`````/ / |
| \ \```/ / |
| \ \`/ / |
| \ · / |
| \ / \ / |
| \ / \ / |
| o o |
| |
o---------------------------------------o
We can form propositions from these differential variables in the same way
that we would any other logical variables, for instance, interpreting the
proposition (dx (dy)) to say "dx => dy", in other words, however you wish
to take it, whether indicatively or injunctively, as saying something to
the effect that there is "no change in x without a change in y".
Given the proposition f(x, y) in U = X x Y,
the (first order) 'enlargement' of f is the
proposition Ef in EU that is defined by the
formula Ef(x, y, dx, dy) = f(x + dx, y + dy).
In the example f(x, y) = xy, we obtain:
Ef(x, y, dx, dy) = (x + dx)(y + dy).
o---------------------------------------o
| |
| x dx y dy |
| o---o o---o |
| \ | | / |
| \ | | / |
| \| |/ |
| @=@ |
| |
o---------------------------------------o
| Ef = (x, dx) (y, dy) |
o---------------------------------------o
Given the proposition f(x, y) in U = X x Y,
the (first order) 'difference' of f is the
proposition Df in EU that is defined by the
formula Df = Ef - f, or, written out in full,
Df(x, y, dx, dy) = f(x + dx, y + dy) - f(x, y).
In the example f(x, y) = xy, the result is:
Df(x, y, dx, dy) = (x + dx)(y + dy) - xy.
o---------------------------------------o
| |
| x dx y dy |
| o---o o---o |
| \ | | / |
| \ | | / |
| \| |/ x y |
| o=o-----------o |
| \ / |
| \ / |
| \ / |
| \ / |
| \ / |
| \ / |
| @ |
| |
o---------------------------------------o
| Df = ((x, dx)(y, dy), xy) |
o---------------------------------------o
We did not yet go through the trouble to interpret this (first order)
"difference of conjunction" fully, but were happy simply to evaluate
it with respect to a single location in the universe of discourse,
namely, at the point picked out by the singular proposition xy,
in as much as if to say, at the place where x = 1 and y = 1.
This evaluation is written in the form Df|xy or Df|<1, 1>,
and we arrived at the locally applicable law that states
that f = xy = x & y => Df|xy = ((dx)(dy)) = dx or dy.
o---------------------------------------o
| |
| dx dy |
| ^ |
| o | o |
| / \ | / \ |
| / \|/ \ |
| /dy | dx\ |
| /(dx) /|\ (dy)\ |
| / ^ /`|`\ ^ \ |
| / \``|``/ \ |
| / /`\`|`/`\ \ |
| / /```\|/```\ \ |
| o x o`````o`````o y o |
| \ \`````````/ / |
| \ \```````/ / |
| \ \`````/ / |
| \ \```/ / |
| \ \`/ / |
| \ · / |
| \ / \ / |
| \ / \ / |
| o o |
| |
o---------------------------------------o
| |
| dx dy |
| o o |
| \ / |
| o |
| | |
| @ |
| |
o---------------------------------------o
| Df|xy = ((dx)(dy)) |
o---------------------------------------o
The picture illustrates the analysis of the inclusive disjunction ((dx)(dy))
into the exclusive disjunction: dx(dy) + dy(dx) + dx dy, a proposition that
may be interpreted to say "change x or change y or both". And this can be
recognized as just what you need to do if you happen to find yourself in
the center cell and desire a detailed description of ways to depart it.
Jon Awbrey --
Formerly Of:
Center Cell,
Chateau Dif.
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
Note 3
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
Last time we computed what will variously be called
the "difference map", the "difference proposition",
or the "local proposition" Df_p for the proposition
f(x, y) = xy at the point p where x = 1 and y = 1.
In the universe U = X x Y, the four propositions
xy, x(y), (x)y, (x)(y) that indicate the "cells",
or the smallest regions of the venn diagram, are
called "singular propositions". These serve as
an alternative notation for naming the points
<1, 1>, <1, 0>, <0, 1>, <0, 0>, respectively.
Thus, we can write Df_p = Df|p = Df|<1, 1> = Df|xy,
so long as we know the frame of reference in force.
Sticking with the example f(x, y) = xy, let us compute the
value of the difference proposition Df at all of the points.
o---------------------------------------o
| |
| x dx y dy |
| o---o o---o |
| \ | | / |
| \ | | / |
| \| |/ x y |
| o=o-----------o |
| \ / |
| \ / |
| \ / |
| \ / |
| \ / |
| \ / |
| @ |
| |
o---------------------------------------o
| Df = ((x, dx)(y, dy), xy) |
o---------------------------------------o
o---------------------------------------o
| |
| dx dy |
| o---o o---o |
| \ | | / |
| \ | | / |
| \| |/ |
| o=o-----------o |
| \ / |
| \ / |
| \ / |
| \ / |
| \ / |
| \ / |
| @ |
| |
o---------------------------------------o
| Df|xy = ((dx)(dy)) |
o---------------------------------------o
o---------------------------------------o
| |
| o |
| dx | dy |
| o---o o---o |
| \ | | / |
| \ | | / o |
| \| |/ | |
| o=o-----------o |
| \ / |
| \ / |
| \ / |
| \ / |
| \ / |
| \ / |
| @ |
| |
o---------------------------------------o
| Df|x(y) = (dx) dy |
o---------------------------------------o
o---------------------------------------o
| |
| o |
| | dx dy |
| o---o o---o |
| \ | | / |
| \ | | / o |
| \| |/ | |
| o=o-----------o |
| \ / |
| \ / |
| \ / |
| \ / |
| \ / |
| \ / |
| @ |
| |
o---------------------------------------o
| Df|(x)y = dx (dy) |
o---------------------------------------o
o---------------------------------------o
| |
| o o |
| | dx | dy |
| o---o o---o |
| \ | | / |
| \ | | / o o |
| \| |/ \ / |
| o=o-----------o |
| \ / |
| \ / |
| \ / |
| \ / |
| \ / |
| \ / |
| @ |
| |
o---------------------------------------o
| Df|(x)(y) = dx dy |
o---------------------------------------o
The easy way to visualize the values of these graphical
expressions is just to notice the following equivalents:
o---------------------------------------o
| |
| x |
| o-o-o-...-o-o-o |
| \ / |
| \ / |
| \ / |
| \ / x |
| \ / o |
| \ / | |
| @ = @ |
| |
o---------------------------------------o
| (x, , ... , , ) = (x) |
o---------------------------------------o
o---------------------------------------o
| |
| o |
| x_1 x_2 x_k | |
| o---o-...-o---o |
| \ / |
| \ / |
| \ / |
| \ / |
| \ / |
| \ / x_1 ... x_k |
| @ = @ |
| |
o---------------------------------------o
| (x_1, ..., x_k, ()) = x_1 · ... · x_k |
o---------------------------------------o
Laying out the arrows on the augmented venn diagram,
one gets a picture of a "differential vector field".
o---------------------------------------o
| |
| dx dy |
| ^ |
| o | o |
| / \ | / \ |
| / \|/ \ |
| /dy | dx\ |
| /(dx) /|\ (dy)\ |
| / ^ /`|`\ ^ \ |
| / \``|``/ \ |
| / /`\`|`/`\ \ |
| / /```\|/```\ \ |
| o x o`````o`````o y o |
| \ \`````````/ / |
| \ o---->```<----o / |
| \ dy \``^``/ dx / |
| \(dx) \`|`/ (dy)/ |
| \ \|/ / |
| \ | / |
| \ /|\ / |
| \ / | \ / |
| o | o |
| | |
| dx | dy |
| o |
| |
o---------------------------------------o
This really just constitutes a depiction of
the interpretations in EU = X x Y x dX x dY
that satisfy the difference proposition Df,
namely, these:
1. x y dx dy
2. x y dx (dy)
3. x y (dx) dy
4. x (y)(dx) dy
5. (x) y dx (dy)
6. (x)(y) dx dy
By inspection, it is fairly easy to understand Df
as telling you what you have to do from each point
of U in order to change the value borne by f(x, y).
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
Note 4
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
We have been studying the action of the difference operator D,
also known as the "localization operator", on the proposition
f : X x Y -> B that is commonly known as the conjunction x·y.
We described Df as a (first order) differential proposition,
that is, a proposition of the type Df : X x Y x dX x dY -> B.
Abstracting from the augmented venn diagram that illustrates
how the "models", or the "satisfying interpretations", of Df
distribute within the extended universe EU = X x Y x dX x dY,
we can depict Df in the form of a "digraph" or directed graph,
one whose points are labeled with the elements of U = X x Y
and whose arrows are labeled with the elements of dU = dX x dY.
o---------------------------------------o
| |
| x · y |
| |
| o |
| ^^^ |
| / | \ |
| (dx)· dy / | \ dx ·(dy) |
| / | \ |
| / | \ |
| v | v |
| x ·(y) o | o (x)· y |
| | |
| | |
| dx · dy |
| | |
| | |
| v |
| o |
| |
| (x)·(y) |
| |
o---------------------------------------o
| |
| f = x y |
| |
| Df = x y · ((dx)(dy)) |
| |
| + x (y) · (dx) dy |
| |
| + (x) y · dx (dy) |
| |
| + (x)(y) · dx dy |
| |
o---------------------------------------o
Any proposition worth its salt, as they say,
has many equivalent ways to look at it, any
of which may reveal some unsuspected aspect
of its meaning. We will encounter more and
more of these alternative readings as we go.
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
Note 5
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
The enlargement operator E, also known as the "shift operator",
has many interesting and very useful properties in its own right,
so let us not fail to observe a few of the more salient features
that play out on the surface of our simple example, f(x, y) = xy.
Introduce a suitably generic definition of the extended universe of discourse:
Let U = X_1 x ... x X_k and EU = U x dU = X_1 x ... x X_k x dX_1 x ... x dX_k.
For a proposition f : X_1 x ... x X_k -> B,
the (first order) 'enlargement' of f is the
proposition Ef : EU -> B that is defined by:
Ef(x_1, ..., x_k, dx_1, ..., dx_k) = f(x_1 + dx_1, ..., x_k + dx_k).
It should be noted that the so-called "differential variables" dx_j
are really just the same kind of boolean variables as the other x_j.
It is conventional to give the additional variables these brands of
inflected names, but whatever extra connotations we might choose to
attach to these syntactic conveniences are wholly external to their
purely algebraic meanings.
For the example f(x, y) = xy, we obtain:
Ef(x, y, dx, dy) = (x + dx)(y + dy).
Given that this expression uses nothing more than the "boolean ring"
operations of addition (+) and multiplication (·), it is permissible
to "multiply things out" in the usual manner to arrive at the result:
Ef(x, y, dx, dy) = x·y + x·dy + y·dx + dx·dy.
To understand what this means in logical terms, for instance, as expressed
in a boolean expansion or a "disjunctive normal form" (DNF), it is perhaps
a little better to go back and analyze the expression the same way that we
did for Df. Thus, let us compute the value of the enlarged proposition Ef
at each of the points in the universe of discourse U = X x Y.
o---------------------------------------o
| |
| x dx y dy |
| o---o o---o |
| \ | | / |
| \ | | / |
| \| |/ |
| @=@ |
| |
o---------------------------------------o
| Ef = (x, dx)·(y, dy) |
o---------------------------------------o
o---------------------------------------o
| |
| dx dy |
| o---o o---o |
| \ | | / |
| \ | | / |
| \| |/ |
| @=@ |
| |
o---------------------------------------o
| Ef|xy = (dx)·(dy) |
o---------------------------------------o
o---------------------------------------o
| |
| o |
| dx | dy |
| o---o o---o |
| \ | | / |
| \ | | / |
| \| |/ |
| @=@ |
| |
o---------------------------------------o
| Ef|x(y) = (dx)· dy |
o---------------------------------------o
o---------------------------------------o
| |
| o |
| | dx dy |
| o---o o---o |
| \ | | / |
| \ | | / |
| \| |/ |
| @=@ |
| |
o---------------------------------------o
| Ef|(x)y = dx ·(dy) |
o---------------------------------------o
o---------------------------------------o
| |
| o o |
| | dx | dy |
| o---o o---o |
| \ | | / |
| \ | | / |
| \| |/ |
| @=@ |
| |
o---------------------------------------o
| Ef|(x)(y) = dx · dy |
o---------------------------------------o
Given the sort of data that arises from this form of analysis,
we can now fold the disjoined ingredients back into a boolean
expansion or a DNF that is equivalent to the proposition Ef.
Ef = xy · Ef_xy + x(y) · Ef_x(y) + (x)y · Ef_(x)y + (x)(y) · Ef_(x)(y).
Here is a summary of the result, illustrated by means of a digraph picture,
where the "no change" element (dx)(dy) is drawn as a loop at the point x·y.
o---------------------------------------o
| |
| x · y |
| (dx)·(dy) |
| -->-- |
| \ / |
| \ / |
| o |
| ^^^ |
| / | \ |
| / | \ |
| (dx)· dy / | \ dx ·(dy) |
| / | \ |
| / | \ |
| x ·(y) o | o (x)· y |
| | |
| | |
| dx · dy |
| | |
| | |
| o |
| |
| (x)·(y) |
| |
o---------------------------------------o
| |
| f = x y |
| |
| Ef = x y · (dx)(dy) |
| |
| + x (y) · (dx) dy |
| |
| + (x) y · dx (dy) |
| |
| + (x)(y) · dx dy |
| |
o---------------------------------------o
We may understand the enlarged proposition Ef
as telling us all the different ways to reach
a model of f from any point of the universe U.
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
Note 6
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
To broaden our experience with simple examples, let us now contemplate the
sixteen functions of concrete type X x Y -> B and abstract type B x B -> B.
For future reference, I will set here a few tables that detail the actions
of E and D and on each of these functions, allowing us to view the results
in several different ways.
By way of initial orientation, Table 0 lists equivalent expressions for the
sixteen functions in a number of different languages for zeroth order logic.
Table 0. Propositional Forms On Two Variables
o---------o---------o---------o----------o------------------o----------o
| L_1 | L_2 | L_3 | L_4 | L_5 | L_6 |
| | | | | | |
| Decimal | Binary | Vector | Cactus | English | Vulgate |
o---------o---------o---------o----------o------------------o----------o
| | x = 1 1 0 0 | | | |
| | y = 1 0 1 0 | | | |
o---------o---------o---------o----------o------------------o----------o
| | | | | | |
| f_0 | f_0000 | 0 0 0 0 | () | false | 0 |
| | | | | | |
| f_1 | f_0001 | 0 0 0 1 | (x)(y) | neither x nor y | ~x & ~y |
| | | | | | |
| f_2 | f_0010 | 0 0 1 0 | (x) y | y and not x | ~x & y |
| | | | | | |
| f_3 | f_0011 | 0 0 1 1 | (x) | not x | ~x |
| | | | | | |
| f_4 | f_0100 | 0 1 0 0 | x (y) | x and not y | x & ~y |
| | | | | | |
| f_5 | f_0101 | 0 1 0 1 | (y) | not y | ~y |
| | | | | | |
| f_6 | f_0110 | 0 1 1 0 | (x, y) | x not equal to y | x + y |
| | | | | | |
| f_7 | f_0111 | 0 1 1 1 | (x y) | not both x and y | ~x v ~y |
| | | | | | |
| f_8 | f_1000 | 1 0 0 0 | x y | x and y | x & y |
| | | | | | |
| f_9 | f_1001 | 1 0 0 1 | ((x, y)) | x equal to y | x = y |
| | | | | | |
| f_10 | f_1010 | 1 0 1 0 | y | y | y |
| | | | | | |
| f_11 | f_1011 | 1 0 1 1 | (x (y)) | not x without y | x => y |
| | | | | | |
| f_12 | f_1100 | 1 1 0 0 | x | x | x |
| | | | | | |
| f_13 | f_1101 | 1 1 0 1 | ((x) y) | not y without x | x <= y |
| | | | | | |
| f_14 | f_1110 | 1 1 1 0 | ((x)(y)) | x or y | x v y |
| | | | | | |
| f_15 | f_1111 | 1 1 1 1 | (()) | true | 1 |
| | | | | | |
o---------o---------o---------o----------o------------------o----------o
The next four Tables expand the expressions of Ef and Df
in two different ways, for each of the sixteen functions.
Notice that the functions are given in a different order,
here being collected into a set of seven natural classes.
Table 1. Ef Expanded Over Ordinary Features {x, y}
o------o------------o------------o------------o------------o------------o
| | | | | | |
| | f | Ef | xy | Ef | x(y) | Ef | (x)y | Ef | (x)(y)|
| | | | | | |
o------o------------o------------o------------o------------o------------o
| | | | | | |
| f_0 | () | () | () | () | () |
| | | | | | |
o------o------------o------------o------------o------------o------------o
| | | | | | |
| f_1 | (x)(y) | dx dy | dx (dy) | (dx) dy | (dx)(dy) |
| | | | | | |
| f_2 | (x) y | dx (dy) | dx dy | (dx)(dy) | (dx) dy |
| | | | | | |
| f_4 | x (y) | (dx) dy | (dx)(dy) | dx dy | dx (dy) |
| | | | | | |
| f_8 | x y | (dx)(dy) | (dx) dy | dx (dy) | dx dy |
| | | | | | |
o------o------------o------------o------------o------------o------------o
| | | | | | |
| f_3 | (x) | dx | dx | (dx) | (dx) |
| | | | | | |
| f_12 | x | (dx) | (dx) | dx | dx |
| | | | | | |
o------o------------o------------o------------o------------o------------o
| | | | | | |
| f_6 | (x, y) | (dx, dy) | ((dx, dy)) | ((dx, dy)) | (dx, dy) |
| | | | | | |
| f_9 | ((x, y)) | ((dx, dy)) | (dx, dy) | (dx, dy) | ((dx, dy)) |
| | | | | | |
o------o------------o------------o------------o------------o------------o
| | | | | | |
| f_5 | (y) | dy | (dy) | dy | (dy) |
| | | | | | |
| f_10 | y | (dy) | dy | (dy) | dy |
| | | | | | |
o------o------------o------------o------------o------------o------------o
| | | | | | |
| f_7 | (x y) | ((dx)(dy)) | ((dx) dy) | (dx (dy)) | (dx dy) |
| | | | | | |
| f_11 | (x (y)) | ((dx) dy) | ((dx)(dy)) | (dx dy) | (dx (dy)) |
| | | | | | |
| f_13 | ((x) y) | (dx (dy)) | (dx dy) | ((dx)(dy)) | ((dx) dy) |
| | | | | | |
| f_14 | ((x)(y)) | (dx dy) | (dx (dy)) | ((dx) dy) | ((dx)(dy)) |
| | | | | | |
o------o------------o------------o------------o------------o------------o
| | | | | | |
| f_15 | (()) | (()) | (()) | (()) | (()) |
| | | | | | |
o------o------------o------------o------------o------------o------------o
Table 2. Df Expanded Over Ordinary Features {x, y}
o------o------------o------------o------------o------------o------------o
| | | | | | |
| | f | Df | xy | Df | x(y) | Df | (x)y | Df | (x)(y)|
| | | | | | |
o------o------------o------------o------------o------------o------------o
| | | | | | |
| f_0 | () | () | () | () | () |
| | | | | | |
o------o------------o------------o------------o------------o------------o
| | | | | | |
| f_1 | (x)(y) | dx dy | dx (dy) | (dx) dy | ((dx)(dy)) |
| | | | | | |
| f_2 | (x) y | dx (dy) | dx dy | ((dx)(dy)) | (dx) dy |
| | | | | | |
| f_4 | x (y) | (dx) dy | ((dx)(dy)) | dx dy | dx (dy) |
| | | | | | |
| f_8 | x y | ((dx)(dy)) | (dx) dy | dx (dy) | dx dy |
| | | | | | |
o------o------------o------------o------------o------------o------------o
| | | | | | |
| f_3 | (x) | dx | dx | dx | dx |
| | | | | | |
| f_12 | x | dx | dx | dx | dx |
| | | | | | |
o------o------------o------------o------------o------------o------------o
| | | | | | |
| f_6 | (x, y) | (dx, dy) | (dx, dy) | (dx, dy) | (dx, dy) |
| | | | | | |
| f_9 | ((x, y)) | (dx, dy) | (dx, dy) | (dx, dy) | (dx, dy) |
| | | | | | |
o------o------------o------------o------------o------------o------------o
| | | | | | |
| f_5 | (y) | dy | dy | dy | dy |
| | | | | | |
| f_10 | y | dy | dy | dy | dy |
| | | | | | |
o------o------------o------------o------------o------------o------------o
| | | | | | |
| f_7 | (x y) | ((dx)(dy)) | (dx) dy | dx (dy) | dx dy |
| | | | | | |
| f_11 | (x (y)) | (dx) dy | ((dx)(dy)) | dx dy | dx (dy) |
| | | | | | |
| f_13 | ((x) y) | dx (dy) | dx dy | ((dx)(dy)) | (dx) dy |
| | | | | | |
| f_14 | ((x)(y)) | dx dy | dx (dy) | (dx) dy | ((dx)(dy)) |
| | | | | | |
o------o------------o------------o------------o------------o------------o
| | | | | | |
| f_15 | (()) | () | () | () | () |
| | | | | | |
o------o------------o------------o------------o------------o------------o
Table 3. Ef Expanded Over Differential Features {dx, dy}
o------o------------o------------o------------o------------o------------o
| | | | | | |
| | f | T_11 f | T_10 f | T_01 f | T_00 f |
| | | | | | |
| | | Ef| dx·dy | Ef| dx(dy) | Ef| (dx)dy | Ef|(dx)(dy)|
| | | | | | |
o------o------------o------------o------------o------------o------------o
| | | | | | |
| f_0 | () | () | () | () | () |
| | | | | | |
o------o------------o------------o------------o------------o------------o
| | | | | | |
| f_1 | (x)(y) | x y | x (y) | (x) y | (x)(y) |
| | | | | | |
| f_2 | (x) y | x (y) | x y | (x)(y) | (x) y |
| | | | | | |
| f_4 | x (y) | (x) y | (x)(y) | x y | x (y) |
| | | | | | |
| f_8 | x y | (x)(y) | (x) y | x (y) | x y |
| | | | | | |
o------o------------o------------o------------o------------o------------o
| | | | | | |
| f_3 | (x) | x | x | (x) | (x) |
| | | | | | |
| f_12 | x | (x) | (x) | x | x |
| | | | | | |
o------o------------o------------o------------o------------o------------o
| | | | | | |
| f_6 | (x, y) | (x, y) | ((x, y)) | ((x, y)) | (x, y) |
| | | | | | |
| f_9 | ((x, y)) | ((x, y)) | (x, y) | (x, y) | ((x, y)) |
| | | | | | |
o------o------------o------------o------------o------------o------------o
| | | | | | |
| f_5 | (y) | y | (y) | y | (y) |
| | | | | | |
| f_10 | y | (y) | y | (y) | y |
| | | | | | |
o------o------------o------------o------------o------------o------------o
| | | | | | |
| f_7 | (x y) | ((x)(y)) | ((x) y) | (x (y)) | (x y) |
| | | | | | |
| f_11 | (x (y)) | ((x) y) | ((x)(y)) | (x y) | (x (y)) |
| | | | | | |
| f_13 | ((x) y) | (x (y)) | (x y) | ((x)(y)) | ((x) y) |
| | | | | | |
| f_14 | ((x)(y)) | (x y) | (x (y)) | ((x) y) | ((x)(y)) |
| | | | | | |
o------o------------o------------o------------o------------o------------o
| | | | | | |
| f_15 | (()) | (()) | (()) | (()) | (()) |
| | | | | | |
o------o------------o------------o------------o------------o------------o
| | | | | |
| Fixed Point Total | 4 | 4 | 4 | 16 |
| | | | | |
o-------------------o------------o------------o------------o------------o
Table 4. Df Expanded Over Differential Features {dx, dy}
o------o------------o------------o------------o------------o------------o
| | | | | | |
| | f | Df| dx·dy | Df| dx(dy) | Df| (dx)dy | Df|(dx)(dy)|
| | | | | | |
o------o------------o------------o------------o------------o------------o
| | | | | | |
| f_0 | () | () | () | () | () |
| | | | | | |
o------o------------o------------o------------o------------o------------o
| | | | | | |
| f_1 | (x)(y) | ((x, y)) | (y) | (x) | () |
| | | | | | |
| f_2 | (x) y | (x, y) | y | (x) | () |
| | | | | | |
| f_4 | x (y) | (x, y) | (y) | x | () |
| | | | | | |
| f_8 | x y | ((x, y)) | y | x | () |
| | | | | | |
o------o------------o------------o------------o------------o------------o
| | | | | | |
| f_3 | (x) | (()) | (()) | () | () |
| | | | | | |
| f_12 | x | (()) | (()) | () | () |
| | | | | | |
o------o------------o------------o------------o------------o------------o
| | | | | | |
| f_6 | (x, y) | () | (()) | (()) | () |
| | | | | | |
| f_9 | ((x, y)) | () | (()) | (()) | () |
| | | | | | |
o------o------------o------------o------------o------------o------------o
| | | | | | |
| f_5 | (y) | (()) | () | (()) | () |
| | | | | | |
| f_10 | y | (()) | () | (()) | () |
| | | | | | |
o------o------------o------------o------------o------------o------------o
| | | | | | |
| f_7 | (x y) | ((x, y)) | y | x | () |
| | | | | | |
| f_11 | (x (y)) | (x, y) | (y) | x | () |
| | | | | | |
| f_13 | ((x) y) | (x, y) | y | (x) | () |
| | | | | | |
| f_14 | ((x)(y)) | ((x, y)) | (y) | (x) | () |
| | | | | | |
o------o------------o------------o------------o------------o------------o
| | | | | | |
| f_15 | (()) | () | () | () | () |
| | | | | | |
o------o------------o------------o------------o------------o------------o
If the medium truly is the message,
the blank slate is the innate idea.
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
Note 7
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
If you think that I linger in the realm of logical difference calculus
out of sheer vacillation about getting down to the differential proper,
it is probably out of a prior expectation that you derive from the art
or the long-engrained practice of real analysis. But the fact is that
ordinary calculus only rushes on to the sundry orders of approximation
because the strain of comprehending the full import of E and D at once
whelm over its discrete and finite powers to grasp them. But here, in
the fully serene idylls of ZOL, we find ourselves fit with the compass
of a wit that is all we'd ever wish to explore their effects with care.
So let us do just that.
I will first rationalize the novel grouping of propositional forms
in the last set of Tables, as that will extend a gentle invitation
to the mathematical subject of "group theory", and demonstrate its
relevance to differential logic in a strikingly apt and useful way.
The data for that account is contained in Table 3.
Table 3. Ef Expanded Over Differential Features {dx, dy}
o------o------------o------------o------------o------------o------------o
| | | | | | |
| | f | T_11 f | T_10 f | T_01 f | T_00 f |
| | | | | | |
| | | Ef| dx·dy | Ef| dx(dy) | Ef| (dx)dy | Ef|(dx)(dy)|
| | | | | | |
o------o------------o------------o------------o------------o------------o
| | | | | | |
| f_0 | () | () | () | () | () |
| | | | | | |
o------o------------o------------o------------o------------o------------o
| | | | | | |
| f_1 | (x)(y) | x y | x (y) | (x) y | (x)(y) |
| | | | | | |
| f_2 | (x) y | x (y) | x y | (x)(y) | (x) y |
| | | | | | |
| f_4 | x (y) | (x) y | (x)(y) | x y | x (y) |
| | | | | | |
| f_8 | x y | (x)(y) | (x) y | x (y) | x y |
| | | | | | |
o------o------------o------------o------------o------------o------------o
| | | | | | |
| f_3 | (x) | x | x | (x) | (x) |
| | | | | | |
| f_12 | x | (x) | (x) | x | x |
| | | | | | |
o------o------------o------------o------------o------------o------------o
| | | | | | |
| f_6 | (x, y) | (x, y) | ((x, y)) | ((x, y)) | (x, y) |
| | | | | | |
| f_9 | ((x, y)) | ((x, y)) | (x, y) | (x, y) | ((x, y)) |
| | | | | | |
o------o------------o------------o------------o------------o------------o
| | | | | | |
| f_5 | (y) | y | (y) | y | (y) |
| | | | | | |
| f_10 | y | (y) | y | (y) | y |
| | | | | | |
o------o------------o------------o------------o------------o------------o
| | | | | | |
| f_7 | (x y) | ((x)(y)) | ((x) y) | (x (y)) | (x y) |
| | | | | | |
| f_11 | (x (y)) | ((x) y) | ((x)(y)) | (x y) | (x (y)) |
| | | | | | |
| f_13 | ((x) y) | (x (y)) | (x y) | ((x)(y)) | ((x) y) |
| | | | | | |
| f_14 | ((x)(y)) | (x y) | (x (y)) | ((x) y) | ((x)(y)) |
| | | | | | |
o------o------------o------------o------------o------------o------------o
| | | | | | |
| f_15 | (()) | (()) | (()) | (()) | (()) |
| | | | | | |
o------o------------o------------o------------o------------o------------o
| | | | | |
| Fixed Point Total | 4 | 4 | 4 | 16 |
| | | | | |
o-------------------o------------o------------o------------o------------o
The shift operator E can be understood as enacting a substitution operation
on the proposition that is given as its argument. In our immediate example,
we have the following data and definition:
E : (U -> B) -> (EU -> B),
E : f(x, y) -> Ef(x, y, dx, dy),
Ef(x, y, dx, dy) = f(x + dx, y + dy).
Therefore, if we evaluate Ef at particular values of dx and dy,
for example, dx = i and dy = j, where i, j are in B, we obtain:
E_ij : (U -> B) -> (U -> B),
E_ij : f -> E_ij f,
E_ij f = Ef | <dx = i, dy = j> = f(x + i, y + j).
The notation is a little bit awkward, but the data of the Table should
make the sense clear. The important thing to observe is that E_ij has
the effect of transforming each proposition f : U -> B into some other
proposition f' : U -> B. As it happens, the action is one-to-one and
onto for each E_ij, so the gang of four operators {E_ij : i, j in B}
is an example of what is called a "transformation group" on the set
of sixteen propositions. Bowing to a longstanding local and linear
tradition, I will therefore redub the four elements of this group
as T_00, T_01, T_10, T_11, to bear in mind their transformative
character, or nature, as the case may be. Abstractly viewed,
this group of order four has the following operation table:
o----------o----------o----------o----------o----------o
| % | | | |
| · % T_00 | T_01 | T_10 | T_11 |
| % | | | |
o==========o==========o==========o==========o==========o
| % | | | |
| T_00 % T_00 | T_01 | T_10 | T_11 |
| % | | | |
o----------o----------o----------o----------o----------o
| % | | | |
| T_01 % T_01 | T_00 | T_11 | T_10 |
| % | | | |
o----------o----------o----------o----------o----------o
| % | | | |
| T_10 % T_10 | T_11 | T_00 | T_01 |
| % | | | |
o----------o----------o----------o----------o----------o
| % | | | |
| T_11 % T_11 | T_10 | T_01 | T_00 |
| % | | | |
o----------o----------o----------o----------o----------o
It happens that there are just two possible groups of 4 elements.
One is the cyclic group Z_4 (German "Zyklus"), which this is not.
The other is Klein's four-group V_4 (German "Vier"), which it is.
More concretely viewed, the group as a whole pushes the set
of sixteen propositions around in such a way that they fall
into seven natural classes, called "orbits". One says that
the orbits are preserved by the action of the group. There
is an "Orbit Lemma" of immense utility to "those who count"
which, depending on your upbringing, you may associate with
the names of Burnside, Cauchy, Frobenius, or some subset or
superset of these three, vouching that the number of orbits
is equal to the mean number of fixed points, in other words,
the total number of points (in our case, propositions) that
are left unmoved by the separate operations, divided by the
order of the group. In this instance, T_00 operates as the
group identity, fixing all 16 propositions, while the other
three group elements fix 4 propositions each, and so we get:
Number of orbits = (4 + 4 + 4 + 16) / 4 = 7. Amazing!
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
Note 8
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
We have been contemplating functions of the type f : U -> B
studying the action of the operators E and D on this family.
These functions, that we may identify for our present aims
with propositions, inasmuch as they capture their abstract
forms, are logical analogues of "scalar potential fields".
These are the sorts of fields that are so picturesquely
presented in elementary calculus and physics textbooks
by images of snow-covered hills and parties of skiers
who trek down their slopes like least action heroes.
The analogous scene in propositional logic presents
us with forms more reminiscent of plateaunic idylls,
being all plains at one of two levels, the mesas of
verity and falsity, as it were, with nary a niche
to inhabit between them, restricting our options
for a sporting gradient of downhill dynamics to
just one of two, standing still on level ground
or falling off a bluff.
We are still working well within the logical analogue of the
classical finite difference calculus, taking in the novelties
that the logical transmutation of familiar elements is able to
bring to light. Soon we will take up several different notions
of approximation relationships that may be seen to organize the
space of propositions, and these will allow us to define several
different forms of differential analysis applying to propositions.
In time we will find reason to consider more general types of maps,
having concrete types of the form X_1 x ... x X_k -> Y_1 x ... x Y_n
and abstract types B^k -> B^n. We will think of these mappings as
transforming universes of discourse into themselves or into others,
in short, as "transformations of discourse".
Before we continue with this intinerary, however, I would like to highlight
another sort of "differential aspect" that concerns the "boundary operator"
or the "marked connective" that serves as one of the two basic connectives
in the cactus language for ZOL.
For example, consider the proposition f of concrete type f : X x Y x Z -> B
and abstract type f : B^3 -> B that is written "(x, y, z)" in cactus syntax.
Taken as an assertion in what Peirce called the "existential interpretation",
(x, y, z) says that just one of x, y, z is false. It is useful to consider
this assertion in relation to the conjunction xyz of the features that are
engaged as its arguments. A venn diagram of (x, y, z) looks like this:
o-----------------------------------------------------------o
| U |
| |
| o-------------o |
| / \ |
| / \ |
| / \ |
| / \ |
| / \ |
| o x o |
| | | |
| | | |
| | | |
| | | |
| | | |
| o--o----------o o----------o--o |
| / \%%%%%%%%%%\ /%%%%%%%%%%/ \ |
| / \%%%%%%%%%%o%%%%%%%%%%/ \ |
| / \%%%%%%%%/ \%%%%%%%%/ \ |
| / \%%%%%%/ \%%%%%%/ \ |
| / \%%%%/ \%%%%/ \ |
| o o--o-------o--o o |
| | |%%%%%%%| | |
| | |%%%%%%%| | |
| | |%%%%%%%| | |
| | |%%%%%%%| | |
| | |%%%%%%%| | |
| o y o%%%%%%%o z o |
| \ \%%%%%/ / |
| \ \%%%/ / |
| \ \%/ / |
| \ o / |
| \ / \ / |
| o-------------o o-------------o |
| |
| |
o-----------------------------------------------------------o
In relation to the center cell indicated by the conjunction xyz,
the region indicated by (x, y, z) is comprised of the "adjacent"
or the "bordering" cells. Thus they are the cells that are just
across the boundary of the center cell, as if reached by way of
Leibniz's "minimal changes" from the point of origin, here, xyz.
The same sort of boundary relationship holds for any cell of origin that
one might elect to indicate, say, by means of the conjunction of positive
or negative basis features u_1 · ... · u_k, with u_j = x_j or u_j = (x_j),
for j = 1 to k. The proposition (u_1, ..., u_k) indicates the disjunctive
region consisting of the cells that are just next door to u_1 · ... · u_k.
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
Note 9
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
| Consider what effects that might conceivably have
| practical bearings you conceive the objects of your
| conception to have. Then, your conception of those
| effects is the whole of your conception of the object.
|
| Charles Sanders Peirce, "The Maxim of Pragmatism, CP 5.438.
One other subject that it would be opportune to mention at this point,
while we have an object example of a mathematical group fresh in mind,
is the relationship between the pragmatic maxim and what are commonly
known in mathematics as "representation principles". As it turns out,
with regard to its formal characteristics, the pragmatic maxim unites
the aspects of a representation principle with the attributes of what
would ordinarily be known as a "closure principle". We will consider
the form of closure that is invoked by the pragmatic maxim on another
occasion, focusing here and now on the topic of group representations.
Let us return to the example of the so-called "four-group" V_4.
We encountered this group in one of its concrete representations,
namely, as a "transformation group" that acts on a set of objects,
in this particular case a set of sixteen functions or propositions.
Forgetting about the set of objects that the group transforms among
themselves, we may take the abstract view of the group's operational
structure, say, in the form of the group operation table copied here:
o---------o---------o---------o---------o---------o
| % | | | |
| · % e | f | g | h |
| % | | | |
o=========o=========o=========o=========o=========o
| % | | | |
| e % e | f | g | h |
| % | | | |
o---------o---------o---------o---------o---------o
| % | | | |
| f % f | e | h | g |
| % | | | |
o---------o---------o---------o---------o---------o
| % | | | |
| g % g | h | e | f |
| % | | | |
o---------o---------o---------o---------o---------o
| % | | | |
| h % h | g | f | e |
| % | | | |
o---------o---------o---------o---------o---------o
This table is abstractly the same as, or isomorphic to, the versions with
the E_ij operators and the T_ij transformations that we discussed earlier.
That is to say, the story is the same -- only the names have been changed.
An abstract group can have a multitude of significantly and superficially
different representations. Even after we have long forgotten the details
of the particular representation that we may have come in with, there are
species of concrete representations, called the "regular representations",
that are always readily available, as they can be generated from the mere
data of the abstract operation table itself.
For example, select a group element from the top margin of the Table,
and "consider its effects" on each of the group elements as they are
listed along the left margin. We may record these effects as Peirce
usually did, as a logical "aggregate" of elementary dyadic relatives,
that is to say, a disjunction or a logical sum whose terms represent
the ordered pairs of <input : output> transactions that are produced
by each group element in turn. This yields what is usually known as
one of the "regular representations" of the group, specifically, the
"first", the "post-", or the "right" regular representation. It has
long been conventional to organize the terms in the form of a matrix:
Reading "+" as a logical disjunction:
G = e + f + g + h,
And so, by expanding effects, we get:
G = e:e + f:f + g:g + h:h
+ e:f + f:e + g:h + h:g
+ e:g + f:h + g:e + h:f
+ e:h + f:g + g:f + h:e
More on the pragmatic maxim as a representation principle later.
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
Note 10
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
| Consider what effects that might conceivably have
| practical bearings you conceive the objects of your
| conception to have. Then, your conception of those
| effects is the whole of your conception of the object.
|
| Charles Sanders Peirce, "The Maxim of Pragmatism, CP 5.438.
The genealogy of this conception of pragmatic representation is very intricate.
I will delineate some details that I presently fancy I remember clearly enough,
subject to later correction. Without checking historical accounts, I will not
be able to pin down anything like a real chronology, but most of these notions
were standard furnishings of the 19th Century mathematical study, and only the
last few items date as late as the 1920's.
The idea about the regular representations of a group is universally known
as "Cayley's Theorem", usually in the form: "Every group is isomorphic to
a subgroup of Aut(S), the group of automorphisms of an appropriate set S".
There is a considerable generalization of these regular representations to
a broad class of relational algebraic systems in Peirce's earliest papers.
The crux of the whole idea is this:
| Consider the effects of the symbol, whose meaning you wish to investigate,
| as they play out on "all" of the different stages of context on which you
| can imagine that symbol playing a role.
This idea of contextual definition is basically the same as Jeremy Bentham's
notion of "paraphrasis", a "method of accounting for fictions by explaining
various purported terms away" (Quine, in Van Heijenoort, page 216). Today
we'd call these constructions "term models". This, again, is the big idea
behind Schönfinkel's combinators {S, K, I}, and hence of lambda calculus,
and I reckon you know where that leads.
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
Note 11
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
| Consider what effects that might 'conceivably'
| have practical bearings you 'conceive' the
| objects of your 'conception' to have. Then,
| your 'conception' of those effects is the
| whole of your 'conception' of the object.
|
| Charles Sanders Peirce,
| "Maxim of Pragmaticism", CP 5.438.
Continuing to draw on the reduced example of group representations,
I would like to draw out a few of the finer points and problems of
regarding the maxim of pragmatism as a principle of representation.
Let us revisit the example of an abstract group that we had befour:
Table 1. Klein Four-Group V_4
o---------o---------o---------o---------o---------o
| % | | | |
| · % e | f | g | h |
| % | | | |
o=========o=========o=========o=========o=========o
| % | | | |
| e % e | f | g | h |
| % | | | |
o---------o---------o---------o---------o---------o
| % | | | |
| f % f | e | h | g |
| % | | | |
o---------o---------o---------o---------o---------o
| % | | | |
| g % g | h | e | f |
| % | | | |
o---------o---------o---------o---------o---------o
| % | | | |
| h % h | g | f | e |
| % | | | |
o---------o---------o---------o---------o---------o
I presented the regular post-representation
of the four-group V_4 in the following form:
Reading "+" as a logical disjunction:
G = e + f + g + h
And so, by expanding effects, we get:
G = e:e + f:f + g:g + h:h
+ e:f + f:e + g:h + h:g
+ e:g + f:h + g:e + h:f
+ e:h + f:g + g:f + h:e
This presents the group in one big bunch,
and there are occasions when one regards
it this way, but that is not the typical
form of presentation that we'd encounter.
More likely, the story would go a little
bit like this:
I cannot remember any of my math teachers
ever invoking the pragmatic maxim by name,
but it would be a very regular occurrence
for such mentors and tutors to set up the
subject in this wise: Suppose you forget
what a given abstract group element means,
that is, in effect, 'what it is'. Then a
sure way to jog your sense of 'what it is'
is to build a regular representation from
the formal materials that are necessarily
left lying about on that abstraction site.
Working through the construction for each
one of the four group elements, we arrive
at the following exegeses of their senses,
giving their regular post-representations:
e = e:e + f:f + g:g + h:h
f = e:f + f:e + g:h + h:g
g = e:g + f:h + g:e + h:f
h = e:h + f:g + g:f + h:e
So if somebody asks you, say, "What is g?",
you can say, "I don't know for certain but
in practice its effects go a bit like this:
Converting e to g, f to h, g to e, h to f".
I will have to check this out later on, but my impression is
that Peirce tended to lean toward the other brand of regular,
the "second", the "left", or the "ante-representation" of the
groups that he treated in his earliest manuscripts and papers.
I believe that this was because he thought of the actions on
the pattern of dyadic relative terms like the "aftermath of".
Working through this alternative for each
one of the four group elements, we arrive
at the following exegeses of their senses,
giving their regular ante-representations:
e = e:e + f:f + g:g + h:h
f = f:e + e:f + h:g + g:h
g = g:e + h:f + e:g + f:h
h = h:e + g:f + f:g + e:h
Your paraphrastic interpretation of what this all
means would come out precisely the same as before.
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
Note 12
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
Erratum
Oops! I think that I have just confounded two entirely different issues:
1. The substantial difference between right and left regular representations.
2. The inessential difference between two conventions of presenting matrices.
I will sort this out and correct it later, as need be.
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
Note 13
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
| Consider what effects that might 'conceivably'
| have practical bearings you 'conceive' the
| objects of your 'conception' to have. Then,
| your 'conception' of those effects is the
| whole of your 'conception' of the object.
|
| Charles Sanders Peirce,
| "Maxim of Pragmaticism", CP 5.438.
Let me return to Peirce's early papers on the algebra of relatives
to pick up the conventions that he used there, and then rewrite my
account of regular representations in a way that conforms to those.
Peirce expresses the action of an "elementary dual relative" like so:
| [Let] A:B be taken to denote
| the elementary relative which
| multiplied into B gives A.
|
| Peirce, 'Collected Papers', CP 3.123.
And though he is well aware that it is not at all necessary to arrange
elementary relatives into arrays, matrices, or tables, when he does so
he tends to prefer organizing dyadic relations in the following manner:
| A:A A:B A:C |
| |
| B:A B:B B:C |
| |
| C:A C:B C:C |
That conforms to the way that the last school of thought
I matriculated into stipulated that we tabulate material:
| e_11 e_12 e_13 |
| |
| e_21 e_22 e_23 |
| |
| e_31 e_32 e_33 |
So, for example, let us suppose that we have the small universe {A, B, C},
and the 2-adic relation m = "mover of" that is represented by this matrix:
m =
| m_AA (A:A) m_AB (A:B) m_AC (A:C) |
| |
| m_BA (B:A) m_BB (B:B) m_BC (B:C) |
| |
| m_CA (C:A) m_CB (C:B) m_CC (C:C) |
Also, let m be such that
A is a mover of A and B,
B is a mover of B and C,
C is a mover of C and A.
In sum:
m =
| 1 · (A:A) 1 · (A:B) 0 · (A:C) |
| |
| 0 · (B:A) 1 · (B:B) 1 · (B:C) |
| |
| 1 · (C:A) 0 · (C:B) 1 · (C:C) |
For the sake of orientation and motivation,
compare with Peirce's notation in CP 3.329.
I think that will serve to fix notation
and set up the remainder of the account.
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
Note 14
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
| Consider what effects that might 'conceivably'
| have practical bearings you 'conceive' the
| objects of your 'conception' to have. Then,
| your 'conception' of those effects is the
| whole of your 'conception' of the object.
|
| Charles Sanders Peirce,
| "Maxim of Pragmaticism", CP 5.438.
I am beginning to see how I got confused.
It is common in algebra to switch around
between different conventions of display,
as the momentary fancy happens to strike,
and I see that Peirce is no different in
this sort of shiftiness than anyone else.
A changeover appears to occur especially
whenever he shifts from logical contexts
to algebraic contexts of application.
In the paper "On the Relative Forms of Quaternions" (CP 3.323),
we observe Peirce providing the following sorts of explanation:
| If X, Y, Z denote the three rectangular components of a vector, and W denote
| numerical unity (or a fourth rectangular component, involving space of four
| dimensions), and (Y:Z) denote the operation of converting the Y component
| of a vector into its Z component, then
|
| 1 = (W:W) + (X:X) + (Y:Y) + (Z:Z)
|
| i = (X:W) - (W:X) - (Y:Z) + (Z:Y)
|
| j = (Y:W) - (W:Y) - (Z:X) + (X:Z)
|
| k = (Z:W) - (W:Z) - (X:Y) + (Y:X)
|
| In the language of logic (Y:Z) is a relative term whose relate is
| a Y component, and whose correlate is a Z component. The law of
| multiplication is plainly (Y:Z)(Z:X) = (Y:X), (Y:Z)(X:W) = 0,
| and the application of these rules to the above values of
| 1, i, j, k gives the quaternion relations
|
| i^2 = j^2 = k^2 = -1,
|
| ijk = -1,
|
| etc.
|
| The symbol a(Y:Z) denotes the changing of Y to Z and the
| multiplication of the result by 'a'. If the relatives be
| arranged in a block
|
| W:W W:X W:Y W:Z
|
| X:W X:X X:Y X:Z
|
| Y:W Y:X Y:Y Y:Z
|
| Z:W Z:X Z:Y Z:Z
|
| then the quaternion w + xi + yj + zk
| is represented by the matrix of numbers
|
| w -x -y -z
|
| x w -z y
|
| y z w -x
|
| z -y x w
|
| The multiplication of such matrices follows the same laws as the
| multiplication of quaternions. The determinant of the matrix =
| the fourth power of the tensor of the quaternion.
|
| The imaginary x + y(-1)^(1/2) may likewise be represented by the matrix
|
| x y
|
| -y x
|
| and the determinant of the matrix = the square of the modulus.
|
| Charles Sanders Peirce, 'Collected Papers', CP 3.323.
|'Johns Hopkins University Circulars', No. 13, p. 179, 1882.
This way of talking is the mark of a person who opts
to multiply his matrices "on the rignt", as they say.
Yet Peirce still continues to call the first element
of the ordered pair (I:J) its "relate" while calling
the second element of the pair (I:J) its "correlate".
That doesn't comport very well, so far as I can tell,
with his customary reading of relative terms, suited
more to the multiplication of matrices "on the left".
So I still have a few wrinkles to iron out before
I can give this story a smooth enough consistency.
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
Note 15
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
| Consider what effects that might 'conceivably'
| have practical bearings you 'conceive' the
| objects of your 'conception' to have. Then,
| your 'conception' of those effects is the
| whole of your 'conception' of the object.
|
| Charles Sanders Peirce,
| "Maxim of Pragmaticism", CP 5.438.
I have been planning for quite some time now to make my return to Peirce's
skyshaking "Description of a Notation for the Logic of Relatives" (1870),
and I can see that it's just about time to get down tuit, so let this
current bit of rambling inquiry function as the preamble to that.
All we need at the present, though, is a modus vivendi/operandi
for telling what is substantial from what is inessential in
the brook between symbolic conceits and dramatic actions
that we find afforded by means of the pragmatic maxim.
Back to our "subinstance", the example in support of our first example.
I will now reconstruct it in a way that may prove to be less confusing.
Let us make up the model universe $1$ = A + B + C and the 2-adic relation
n = "noder of", as when "X is a data record that contains a pointer to Y".
That interpretation is not important, it's just for the sake of intuition.
In general terms, the 2-adic relation n can be represented by this matrix:
n =
| n_AA (A:A) n_AB (A:B) n_AC (A:C) |
| |
| n_BA (B:A) n_BB (B:B) n_BC (B:C) |
| |
| n_CA (C:A) n_CB (C:B) n_CC (C:C) |
Also, let n be such that
A is a noder of A and B,
B is a noder of B and C,
C is a noder of C and A.
Filling in the instantial values of the "coefficients" n_ij,
as the indices i and j range over the universe of discourse:
n =
| 1 · (A:A) 1 · (A:B) 0 · (A:C) |
| |
| 0 · (B:A) 1 · (B:B) 1 · (B:C) |
| |
| 1 · (C:A) 0 · (C:B) 1 · (C:C) |
In Peirce's time, and even in some circles of mathematics today,
the information indicated by the elementary relatives (I:J), as
I, J range over the universe of discourse, would be referred to
as the "umbral elements" of the algebraic operation represented
by the matrix, though I seem to recall that Peirce preferred to
call these terms the "ingredients". When this ordered basis is
understood well enough, one will tend to drop any mention of it
from the matrix itself, leaving us nothing but these bare bones:
n =
| 1 1 0 |
| |
| 0 1 1 |
| |
| 1 0 1 |
However the specification may come to be written, this
is all just convenient schematics for stipulating that:
n = A:A + B:B + C:C + A:B + B:C + C:A
Recognizing !1! = A:A + B:B + C:C to be the identity transformation,
the 2-adic relation n = "noder of" may be represented by an element
!1! + A:B + B:C + C:A of the so-called "group ring", all of which
just makes this element a special sort of linear transformation.
Up to this point, we are still reading the elementary relatives of
the form I:J in the way that Peirce reads them in logical contexts:
I is the relate, J is the correlate, and in our current example we
read I:J, or more exactly, n_ij = 1, to say that I is a noder of J.
This is the mode of reading that we call "multiplying on the left".
In the algebraic, permutational, or transformational contexts of
application, however, Peirce converts to the alternative mode of
reading, although still calling I the relate and J the correlate,
the elementary relative I:J now means that I gets changed into J.
In this scheme of reading, the transformation A:B + B:C + C:A is
a permutation of the aggregate $1$ = A + B + C, or what we would
now call the set {A, B, C}, in particular, it is the permutation
that is otherwise notated as:
( A B C )
< >
( B C A )
This is consistent with the convention that Peirce uses in
the paper "On a Class of Multiple Algebras" (CP 3.324-327).
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
Note 16
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
| Consider what effects that might 'conceivably'
| have practical bearings you 'conceive' the
| objects of your 'conception' to have. Then,
| your 'conception' of those effects is the
| whole of your 'conception' of the object.
|
| Charles Sanders Peirce,
| "Maxim of Pragmaticism", CP 5.438.
We have been contemplating the virtues and the utilities of
the pragmatic maxim as a hermeneutic heuristic, specifically,
as a principle of interpretation that guides us in finding a
clarifying representation for a problematic corpus of symbols
in terms of their actions on other symbols or their effects on
the syntactic contexts in which we conceive to distribute them.
I started off considering the regular representations of groups
as constituting what appears to be one of the simplest possible
applications of this overall principle of representation.
There are a few problems of implementation that have to be worked out
in practice, most of which are cleared up by keeping in mind which of
several possible conventions we have chosen to follow at a given time.
But there does appear to remain this rather more substantial question:
Are the effects we seek relates or correlates, or does it even matter?
I will have to leave that question as it is for now,
in hopes that a solution will evolve itself in time.
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
Note 17
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
| Consider what effects that might 'conceivably'
| have practical bearings you 'conceive' the
| objects of your 'conception' to have. Then,
| your 'conception' of those effects is the
| whole of your 'conception' of the object.
|
| Charles Sanders Peirce,
| "Maxim of Pragmaticism", CP 5.438.
There a big reasons and little reasons for caring about this humble example.
The little reasons we find all under our feet. One big reason I can now
quite blazonly enounce in the fashion of this not so subtle subtitle:
Obstacles to Applying the Pragmatic Maxim
No sooner do you get a good idea and try to apply it
than you find that a motley array of obstacles arise.
It seems as if I am constantly lamenting the fact these days that people,
and even admitted Peircean persons, do not in practice more consistently
apply the maxim of pragmatism to the purpose for which it is purportedly
intended by its author. That would be the clarification of concepts, or
intellectual symbols, to the point where their inherent senses, or their
lacks thereof, would be rendered manifest to all and sundry interpreters.
There are big obstacles and little obstacles to applying the pragmatic maxim.
In good subgoaling fashion, I will merely mention a few of the bigger blocks,
as if in passing, and then get down to the devilish details that immediately
obstruct our way.
Obstacle 1. People do not always read the instructions very carefully.
There is a tendency in readers of particular prior persuasions to blow
the problem all out of proportion, to think that the maxim is meant to
reveal the absolutely positive and the totally unique meaning of every
preconception to which they might deign or elect to apply it. Reading
the maxim with an even minimal attention, you can see that it promises
no such finality of unindexed sense, but ties what you conceive to you.
I have lately come to wonder at the tenacity of this misinterpretation.
Perhaps people reckon that nothing less would be worth their attention.
I am not sure. I can only say the achievement of more modest goals is
the sort of thing on which our daily life depends, and there can be no
final end to inquiry nor any ultimate community without a continuation
of life, and that means life on a day to day basis. All of which only
brings me back to the point of persisting with local meantime examples,
because if we can't apply the maxim there, we can't apply it anywhere.
And now I need to go out of doors and weed my garden for a time ...
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
Note 18
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
| Consider what effects that might 'conceivably'
| have practical bearings you 'conceive' the
| objects of your 'conception' to have. Then,
| your 'conception' of those effects is the
| whole of your 'conception' of the object.
|
| Charles Sanders Peirce,
| "Maxim of Pragmaticism", CP 5.438.
Obstacles to Applying the Pragmatic Maxim
Obstacle 2. Applying the pragmatic maxim, even with a moderate aim, can be hard.
I think that my present example, deliberately impoverished as it is, affords us
with an embarassing richness of evidence of just how complex the simple can be.
All the better reason for me to see if I can finish it up before moving on.
Expressed most simply, the idea is to replace the question of "what it is",
which modest people know is far too difficult for them to answer right off,
with the question of "what it does", which most of us know a modicum about.
In the case of regular representations of groups we found
a non-plussing surplus of answers to sort our way through.
So let us track back one more time to see if we can learn
any lessons that might carry over to more realistic cases.
Here is is the operation table of V_4 once again:
Table 1. Klein Four-Group V_4
o---------o---------o---------o---------o---------o
| % | | | |
| · % e | f | g | h |
| % | | | |
o=========o=========o=========o=========o=========o
| % | | | |
| e % e | f | g | h |
| % | | | |
o---------o---------o---------o---------o---------o
| % | | | |
| f % f | e | h | g |
| % | | | |
o---------o---------o---------o---------o---------o
| % | | | |
| g % g | h | e | f |
| % | | | |
o---------o---------o---------o---------o---------o
| % | | | |
| h % h | g | f | e |
| % | | | |
o---------o---------o---------o---------o---------o
A group operation table is really just a device for
recording a certain 3-adic relation, to be specific,
the set of triples of the form <x, y, z> satisfying
the equation x·y = z where · is the group operation.
In the case of V_4 = (G, ·), where G is the "underlying set"
{e, f, g, h}, we have the 3-adic relation L(V_4) c G x G x G
whose triples are listed below:
| <e, e, e>
| <e, f, f>
| <e, g, g>
| <e, h, h>
|
| <f, e, f>
| <f, f, e>
| <f, g, h>
| <f, h, g>
|
| <g, e, g>
| <g, f, h>
| <g, g, e>
| <g, h, f>
|
| <h, e, h>
| <h, f, g>
| <h, g, f>
| <h, h, e>
It is part of the definition of a group that the 3-adic
relation L c G^3 is actually a function L : G x G -> G.
It is from this functional perspective that we can see
an easy way to derive the two regular representations.
Since we have a function of the type L : G x G -> G,
we can define a couple of substitution operators:
1. Sub(x, <_, y>) puts any specified x into
the empty slot of the rheme <_, y>, with
the effect of producing the saturated
rheme <x, y> that evaluates to x·y.
2. Sub(x, <y, _>) puts any specified x into
the empty slot of the rheme <y, >, with
the effect of producing the saturated
rheme <y, x> that evaluates to y·x.
In (1), we consider the effects of each x in its
practical bearing on contexts of the form <_, y>,
as y ranges over G, and the effects are such that
x takes <_, y> into x·y, for y in G, all of which
is summarily notated as x = {(y : x·y) : y in G}.
The pairs (y : x·y) can be found by picking an x
from the left margin of the group operation table
and considering its effects on each y in turn as
these run across the top margin. This aspect of
pragmatic definition we recognize as the regular
ante-representation:
e = e:e + f:f + g:g + h:h
f = e:f + f:e + g:h + h:g
g = e:g + f:h + g:e + h:f
h = e:h + f:g + g:f + h:e
In (2), we consider the effects of each x in its
practical bearing on contexts of the form <y, _>,
as y ranges over G, and the effects are such that
x takes <y, _> into y·x, for y in G, all of which
is summarily notated as x = {(y : y·x) : y in G}.
The pairs (y : y·x) can be found by picking an x
from the top margin of the group operation table
and considering its effects on each y in turn as
these run down the left margin. This aspect of
pragmatic definition we recognize as the regular
post-representation:
e = e:e + f:f + g:g + h:h
f = e:f + f:e + g:h + h:g
g = e:g + f:h + g:e + h:f
h = e:h + f:g + g:f + h:e
If the ante-rep looks the same as the post-rep,
now that I'm writing them in the same dialect,
that is because V_4 is abelian (commutative),
and so the two representations have the very
same effects on each point of their bearing.
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
Note 19
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
| Consider what effects that might 'conceivably'
| have practical bearings you 'conceive' the
| objects of your 'conception' to have. Then,
| your 'conception' of those effects is the
| whole of your 'conception' of the object.
|
| Charles Sanders Peirce,
| "Maxim of Pragmaticism", CP 5.438.
So long as we're in the neighborhood, we might as well take in
some more of the sights, for instance, the smallest example of
a non-abelian (non-commutative) group. This is a group of six
elements, say, G = {e, f, g, h, i, j}, with no relation to any
other employment of these six symbols being implied, of course,
and it can be most easily represented as the permutation group
on a set of three letters, say, X = {A, B, C}, usually notated
as G = Sym(X) or more abstractly and briefly, as Sym(3) or S_3.
Here are the permutation (= substitution) operations in Sym(X):
Table 2. Permutations or Substitutions in Sym_{A, B, C}
o---------o---------o---------o---------o---------o---------o
| | | | | | |
| e | f | g | h | i | j |
| | | | | | |
o=========o=========o=========o=========o=========o=========o
| | | | | | |
| A B C | A B C | A B C | A B C | A B C | A B C |
| | | | | | |
| | | | | | | | | | | | | | | | | | | | | | | | |
| v v v | v v v | v v v | v v v | v v v | v v v |
| | | | | | |
| A B C | C A B | B C A | A C B | C B A | B A C |
| | | | | | |
o---------o---------o---------o---------o---------o---------o
Here is the operation table for S_3, given in abstract fashion:
Table 3. Symmetric Group S_3
| _
| e / \ e
| / \
| / e \
| f / \ / \ f
| / \ / \
| / f \ f \
| g / \ / \ / \ g
| / \ / \ / \
| / g \ g \ g \
| h / \ / \ / \ / \ h
| / \ / \ / \ / \
| / h \ e \ e \ h \
| i / \ / \ / \ / \ / \ i
| / \ / \ / \ / \ / \
| / i \ i \ f \ j \ i \
| j / \ / \ / \ / \ / \ / \ j
| / \ / \ / \ / \ / \ / \
| ( j \ j \ j \ i \ h \ j )
| \ / \ / \ / \ / \ / \ /
| \ / \ / \ / \ / \ / \ /
| \ h \ h \ e \ j \ i /
| \ / \ / \ / \ / \ /
| \ / \ / \ / \ / \ /
| \ i \ g \ f \ h /
| \ / \ / \ / \ /
| \ / \ / \ / \ /
| \ f \ e \ g /
| \ / \ / \ /
| \ / \ / \ /
| \ g \ f /
| \ / \ /
| \ / \ /
| \ e /
| \ /
| \ /
| ¯
By the way, we will meet with the symmetric group S_3 again
when we return to take up the study of Peirce's early paper
"On a Class of Multiple Algebras" (CP 3.324-327), and also
his late unpublished work "The Simplest Mathematics" (1902)
(CP 4.227-323), with particular reference to the section
that treats of "Trichotomic Mathematics" (CP 4.307-323).
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
Work Area
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
Note 20
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
| Consider what effects that might 'conceivably'
| have practical bearings you 'conceive' the
| objects of your 'conception' to have. Then,
| your 'conception' of those effects is the
| whole of your 'conception' of the object.
|
| Charles Sanders Peirce,
| "Maxim of Pragmaticism", CP 5.438.
By way of collecting a shot-term pay-off for all the work --
not to mention the peirce-spiration -- that we sweated out
over the regular representations of V_4 and S_3
Table 2. Permutations or Substitutions in Sym_{A, B, C}
o---------o---------o---------o---------o---------o---------o
| | | | | | |
| e | f | g | h | i | j |
| | | | | | |
o=========o=========o=========o=========o=========o=========o
| | | | | | |
| A B C | A B C | A B C | A B C | A B C | A B C |
| | | | | | |
| | | | | | | | | | | | | | | | | | | | | | | | |
| v v v | v v v | v v v | v v v | v v v | v v v |
| | | | | | |
| A B C | C A B | B C A | A C B | C B A | B A C |
| | | | | | |
o---------o---------o---------o---------o---------o---------o
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
Note 21
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
| Consider what effects that might 'conceivably'
| have practical bearings you 'conceive' the
| objects of your 'conception' to have. Then,
| your 'conception' of those effects is the
| whole of your 'conception' of the object.
|
| Charles Sanders Peirce,
| "Maxim of Pragmaticism", CP 5.438.
problem about writing
e = e:e + f:f + g:g + h:h
no recursion intended
need for a work-around
ways way explaining it away
action on signs not objects
math def of rep
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
Zeroth Order Logic
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
Here is a scaled-down version of one of my very first applications,
having to do with the demographic variables in a survey data base.
This Example illustrates the use of 2-variate logical forms
for expressing and reasoning about the logical constraints
that are involved in the following types of situations:
1. Distinction: A =/= B
Also known as: logical inequality, exclusive disjunction
Represented as: ( A , B )
Graphed as:
|
| A B
| o---o
| \ /
| @
2. Equality: A = B
Also known as: logical equivalence, if and only if, A <=> B
Represented as: (( A , B ))
Graphed as:
|
| A B
| o---o
| \ /
| o
| |
| @
3. Implication: A => B
Also known as: entailment, if-then
Represented as: ( A ( B ))
Graphed as:
|
| A B
| o---o
| |
| @
Example of a proposition expressing a "zeroth order theory" (ZOT):
Consider the following text, written in what I am calling "Ref Log",
also known as the "Cactus Language" synpropositional logic:
| ( male , female )
| (( boy , male child ))
| (( girl , female child ))
| ( child ( human ))
Graphed as:
| boy male girl female
| o---o child o---o child
| male female \ / \ / child human
| o---o o o o---o
| \ / | | |
| @ @ @ @|
Nota Bene. Due to graphic constraints -- no, the other
kind of graphic constraints -- of the immediate medium,
I am forced to string out the logical conjuncts of the
actual cactus graph for this situation, one that might
sufficiently be reasoned out from the exhibit supra by
fusing together the four roots of the severed cactus.
Either of these expressions, text or graph, is equivalent to
what would otherwise be written in a more ordinary syntax as:
| male =/= female
| boy <=> male child
| girl <=> female child
| child => human
This is a actually a single proposition, a conjunction of four lines:
one distinction, two equations, and one implication. Together these
amount to a set of definitions conjointly constraining the logical
compatibility of the six feature names that appear. They may be
thought of as sculpting out a space of models that is some subset
of the 2^6 = 64 possible interpretations, and thereby shaping some
universe of discourse.
Once this backdrop is defined, it is possible to "query" this universe,
simply by conjoining additional propositions in further constraint of
the underlying set of models. This has many uses, as we shall see.
We are considering an Example of a propositional expression
that is formed on the following "alphabet" or "lexicon" of
six "logical features" or "boolean variables":
$A$ = {"boy", "child", "female", "girl", "human", "male"}.
The expression is this:
| ( male , female )
| (( boy , male child ))
| (( girl , female child ))
| ( child ( human ))
Putting it very roughly -- and putting off a better description
of it till later -- we may think of this expression as notation
for a boolean function f : %B%^6 -> %B%. This is what we might
call the "abstract type" of the function, but we will also find
it convenient on many occasions to represent the points of this
particular copy of the space %B%^6 in terms of the positive and
negative versions of the features from $A$ that serve to encase
them as logical "cells", as they are called in the venn diagram
picture of the corresponding universe of discourse X = [$A$].
Just for concreteness, this form of representation begins and ends:
<0,0,0,0,0,0> = (boy)(child)(female)(girl)(human)(male),
<0,0,0,0,0,1> = (boy)(child)(female)(girl)(human) male ,
<0,0,0,0,1,0> = (boy)(child)(female)(girl) human (male),
<0,0,0,0,1,1> = (boy)(child)(female)(girl) human male ,
...
<1,1,1,1,0,0> = boy child female girl (human)(male),
<1,1,1,1,0,1> = boy child female girl (human) male ,
<1,1,1,1,1,0> = boy child female girl human (male),
<1,1,1,1,1,1> = boy child female girl human male .
I continue with the previous Example, that I bring forward and sum up here:
| boy male girl female
| o---o child o---o child
| male female \ / \ / child human
| o---o o o o--o
| \ / | | |
| @ @ @ @
|
| (male , female)((boy , male child))((girl , female child))(child (human))
For my master's piece in Quantitative Psychology (Michigan State, 1989),
I wrote a program, "Theme One" (TO) by name, that among its other duties
operates to process the expressions of the cactus language in many of the
most pressing ways that we need in order to be able to use it effectively
as a propositional calculus. The operational component of TO where one
does the work of this logical modeling is called "Study", and the core
of the logical calculator deep in the heart of this Study section is
a suite of computational functions that evolve a particular species
of "normal form", analogous to a "disjunctive normal form" (DNF),
from whatever expression they are prebendered as their input.
This "canonical", "normal", or "stable" form of logical expression --
I'll refine the distinctions among these subforms all in good time --
permits succinct depiction as an "arboreal boolean expansion" (ABE).
Once again, the graphic limitations of this space prevail against
any disposition that I might have to lay out a really substantial
case before you, of the brand that might have a chance to impress
you with the aptitude of this ilk of ABE in rooting out the truth
of many a complexly obscurely subtly adamant whetstone of our wit.
So let me just illustrate the way of it with one conjunct of our Example.
What follows will be a sequence of expressions, each one after the first
being logically equal to the one that precedes it:
Step 1
| g fc
| o---o
| \ /
| o
| |
| @
Step 2
| o
| fc | fc
| o---o o---o
| \ / \ /
| o o
| | |
| g o-------------o--o g
| \ /
| \ /
| \ /
| \ /
| \ /
| \ /
| @
Step 3
| f c
| o
| | f c
| o o
| | |
| g o-------------o--o g
| \ /
| \ /
| \ /
| \ /
| \ /
| \ /
| @
Step 4
| o
| |
| c o o c o
| | | |
| o o c o o c
| | | | |
| f o---o--o f f o---o--o f
| \ / \ /
| g o-------------o--o g
| \ /
| \ /
| \ /
| \ /
| \ /
| \ /
| @
Step 5
| o c o
| c | |
| f o---o--o f f o---o--o f
| \ / \ /
| g o-------------o--o g
| \ /
| \ /
| \ /
| \ /
| \ /
| \ /
| @
Step 6
| o
| |
| o o o
| | | |
| c o---o--o c o c o---o--o c
| \ / | \ /
| f o-------------o--o f f o-------------o--o f
| \ / \ /
| \ / \ /
| \ / \ /
| \ / \ /
| \ / \ /
| \ / \ /
| g o---------------------------o--o g
| \ /
| \ /
| \ /
| \ /
| \ /
| \ /
| \ /
| \ /
| \ /
| \ /
| \ /
| \ /
| \ /
| @
Step 7
| o o
| | |
| c o---o--o c o c o---o--o c
| \ / | \ /
| f o-------------o--o f f o-------------o--o f
| \ / \ /
| \ / \ /
| \ / \ /
| \ / \ /
| \ / \ /
| \ / \ /
| g o---------------------------o--o g
| \ /
| \ /
| \ /
| \ /
| \ /
| \ /
| \ /
| \ /
| \ /
| \ /
| \ /
| \ /
| \ /
| @
This last expression is the ABE of the input expression.
It can be transcribed into ordinary logical language as:
| either girl and
| either female and
| either child and true
| or not child and false
| or not female and false
| or not girl and
| either female and
| either child and false
| or not child and true
| or not female and true
The expression "((girl , female child))" is sufficiently evaluated
by considering its logical values on the coordinate tuples of %B%^3,
or its indications on the cells of the associated venn diagram that
depicts the universe of discourse, namely, on these eight arguments:
<1, 1, 1> = girl female child ,
<1, 1, 0> = girl female (child),
<1, 0, 1> = girl (female) child ,
<1, 0, 0> = girl (female)(child),
<0, 1, 1> = (girl) female child ,
<0, 1, 0> = (girl) female (child),
<0, 0, 1> = (girl)(female) child ,
<0, 0, 0> = (girl)(female)(child).
The ABE output expression tells us the logical values of
the input expression on each of these arguments, doing so
by attaching the values to the leaves of a tree, and acting
as an "efficient" or "lazy" evaluator in the sense that the
process that generates the tree follows each path only up to
the point in the tree where it can determine the values on the
entire subtree beyond that point. Thus, the ABE tree tells us:
girl female child -> 1
girl female (child) -> 0
girl (female) -> 0
(girl) female child -> 0
(girl) female (child) -> 1
(girl)(female) -> 1
Picking out the interpretations that yield the truth of the expression,
and expanding the corresponding partial argument tuples, we arrive at
the following interpretations that satisfy the input expression:
girl female child -> 1
(girl) female (child) -> 1
(girl)(female) child -> 1
(girl)(female)(child) -> 1
In sum, if it's a female and a child, then it's a girl,
and if it's either not a female or not a child or both,
then it's not a girl.
Brief Automata
By way of providing a simple illustration of Cook's Theorem,
that "Propositional Satisfiability is NP-Complete", here is
an exposition of one way to translate Turing Machine set-ups
into propositional expressions, employing the Ref Log Syntax
for Prop Calc that I described in a couple of earlier notes:
Notation:
Stilt(k) = Space and Time Limited Turing Machine,
with k units of space and k units of time.
Stunt(k) = Space and Time Limited Turing Machine,
for computing the parity of a bit string,
with Number of Tape cells of input equal to k.
I will follow the pattern of the discussion in the book of
Herbert Wilf, 'Algorithms & Complexity' (1986), pages 188-201,
but translate into Ref Log, which is more efficient with respect
to the number of propositional clauses that are required.
Parity Machine
| 1/1/+1
| ------->
| /\ / \ /\
| 0/0/+1 ^ 0 1 ^ 0/0/+1
| \/|\ /|\/
| | <------- |
| #/#/-1 | 1/1/+1 | #/#/-1
| | |
| v v
| # *
o-------o--------o-------------o---------o------------o
| State | Symbol | Next Symbol | Ratchet | Next State |
| Q | S | S' | dR | Q' |
o-------o--------o-------------o---------o------------o
| 0 | 0 | 0 | +1 | 0 |
| 0 | 1 | 1 | +1 | 1 |
| 0 | # | # | -1 | # |
| 1 | 0 | 0 | +1 | 1 |
| 1 | 1 | 1 | +1 | 0 |
| 1 | # | # | -1 | * |
o-------o--------o-------------o---------o------------o
The TM has a "finite automaton" (FA) as its component.
Let us refer to this particular FA by the name of "M".
The "tape-head" (that is, the "read-unit") will be called "H".
The "registers" are also called "tape-cells" or "tape-squares".
In order to consider how the finitely "stilted" rendition of this TM
can be translated into the form of a purely propositional description,
one now fixes k and limits the discussion to talking about a Stilt(k),
which is really not a true TM anymore but a finite automaton in disguise.
In this example, for the sake of a minimal illustration, we choose k = 2,
and discuss Stunt(2). Since the zeroth tape cell and the last tape cell
are occupied with bof and eof marks "#", this amounts to only one digit
of significant computation.
To translate Stunt(2) into propositional form we use
the following collection of propositional variables:
For the "Present State Function" QF : P -> Q,
{p0_q#, p0_q*, p0_q0, p0_q1,
p1_q#, p1_q*, p1_q0, p1_q1,
p2_q#, p2_q*, p2_q0, p2_q1,
p3_q#, p3_q*, p3_q0, p3_q1}
The propositional expression of the form "pi_qj" says:
| At the point-in-time p_i,
| the finite machine M is in the state q_j.
For the "Present Register Function" RF : P -> R,
{p0_r0, p0_r1, p0_r2, p0_r3,
p1_r0, p1_r1, p1_r2, p1_r3,
p2_r0, p2_r1, p2_r2, p2_r3,
p3_r0, p3_r1, p3_r2, p3_r3}
The propositional expression of the form "pi_rj" says:
| At the point-in-time p_i,
| the tape-head H is on the tape-cell r_j.
For the "Present Symbol Function" SF : P -> (R -> S),
{p0_r0_s#, p0_r0_s*, p0_r0_s0, p0_r0_s1,
p0_r1_s#, p0_r1_s*, p0_r1_s0, p0_r1_s1,
p0_r2_s#, p0_r2_s*, p0_r2_s0, p0_r2_s1,
p0_r3_s#, p0_r3_s*, p0_r3_s0, p0_r3_s1,
p1_r0_s#, p1_r0_s*, p1_r0_s0, p1_r0_s1,
p1_r1_s#, p1_r1_s*, p1_r1_s0, p1_r1_s1,
p1_r2_s#, p1_r2_s*, p1_r2_s0, p1_r2_s1,
p1_r3_s#, p1_r3_s*, p1_r3_s0, p1_r3_s1,
p2_r0_s#, p2_r0_s*, p2_r0_s0, p2_r0_s1,
p2_r1_s#, p2_r1_s*, p2_r1_s0, p2_r1_s1,
p2_r2_s#, p2_r2_s*, p2_r2_s0, p2_r2_s1,
p2_r3_s#, p2_r3_s*, p2_r3_s0, p2_r3_s1,
p3_r0_s#, p3_r0_s*, p3_r0_s0, p3_r0_s1,
p3_r1_s#, p3_r1_s*, p3_r1_s0, p3_r1_s1,
p3_r2_s#, p3_r2_s*, p3_r2_s0, p3_r2_s1,
p3_r3_s#, p3_r3_s*, p3_r3_s0, p3_r3_s1}
The propositional expression of the form "pi_rj_sk" says:
| At the point-in-time p_i,
| the tape-cell r_j bears the mark s_k.
o~~~~~~~~~o~~~~~~~~~o~~INPUTS~~o~~~~~~~~~o~~~~~~~~~o
Here are the Initial Conditions
for the two possible inputs to the
Ref Log redaction of this Parity TM:
o~~~~~~~~~o~~~~~~~~~o~INPUT~0~o~~~~~~~~~o~~~~~~~~~o
Initial Conditions:
p0_q0
p0_r1
p0_r0_s#
p0_r1_s0
p0_r2_s#
The Initial Conditions are given by a logical conjunction
that is composed of 5 basic expressions, altogether stating:
| At the point-in-time p_0, M is in the state q_0, and
| At the point-in-time p_0, H is on the cell r_1, and
| At the point-in-time p_0, cell r_0 bears the mark "#", and
| At the point-in-time p_0, cell r_1 bears the mark "0", and
| At the point-in-time p_0, cell r_2 bears the mark "#".
o~~~~~~~~~o~~~~~~~~~o~INPUT~1~o~~~~~~~~~o~~~~~~~~~o
Initial Conditions:
p0_q0
p0_r1
p0_r0_s#
p0_r1_s1
p0_r2_s#
The Initial Conditions are given by a logical conjunction
that is composed of 5 basic expressions, altogether stating:
| At the point-in-time p_0, M is in the state q_0, and
| At the point-in-time p_0, H is on the cell r_1, and
| At the point-in-time p_0, cell r_0 bears the mark "#", and
| At the point-in-time p_0, cell r_1 bears the mark "1", and
| At the point-in-time p_0, cell r_2 bears the mark "#".
o~~~~~~~~~o~~~~~~~~~o~PROGRAM~o~~~~~~~~~o~~~~~~~~~o
And here, yet again, just to store it nearby,
is the logical rendition of the TM's program:
Mediate Conditions:
( p0_q# ( p1_q# ))
( p0_q* ( p1_q* ))
( p1_q# ( p2_q# ))
( p1_q* ( p2_q* ))
Terminal Conditions:
(( p2_q# )( p2_q* ))
State Partition:
(( p0_q0 ),( p0_q1 ),( p0_q# ),( p0_q* ))
(( p1_q0 ),( p1_q1 ),( p1_q# ),( p1_q* ))
(( p2_q0 ),( p2_q1 ),( p2_q# ),( p2_q* ))
Register Partition:
(( p0_r0 ),( p0_r1 ),( p0_r2 ))
(( p1_r0 ),( p1_r1 ),( p1_r2 ))
(( p2_r0 ),( p2_r1 ),( p2_r2 ))
Symbol Partition:
(( p0_r0_s0 ),( p0_r0_s1 ),( p0_r0_s# ))
(( p0_r1_s0 ),( p0_r1_s1 ),( p0_r1_s# ))
(( p0_r2_s0 ),( p0_r2_s1 ),( p0_r2_s# ))
(( p1_r0_s0 ),( p1_r0_s1 ),( p1_r0_s# ))
(( p1_r1_s0 ),( p1_r1_s1 ),( p1_r1_s# ))
(( p1_r2_s0 ),( p1_r2_s1 ),( p1_r2_s# ))
(( p2_r0_s0 ),( p2_r0_s1 ),( p2_r0_s# ))
(( p2_r1_s0 ),( p2_r1_s1 ),( p2_r1_s# ))
(( p2_r2_s0 ),( p2_r2_s1 ),( p2_r2_s# ))
Interaction Conditions:
(( p0_r0 ) p0_r0_s0 ( p1_r0_s0 ))
(( p0_r0 ) p0_r0_s1 ( p1_r0_s1 ))
(( p0_r0 ) p0_r0_s# ( p1_r0_s# ))
(( p0_r1 ) p0_r1_s0 ( p1_r1_s0 ))
(( p0_r1 ) p0_r1_s1 ( p1_r1_s1 ))
(( p0_r1 ) p0_r1_s# ( p1_r1_s# ))
(( p0_r2 ) p0_r2_s0 ( p1_r2_s0 ))
(( p0_r2 ) p0_r2_s1 ( p1_r2_s1 ))
(( p0_r2 ) p0_r2_s# ( p1_r2_s# ))
(( p1_r0 ) p1_r0_s0 ( p2_r0_s0 ))
(( p1_r0 ) p1_r0_s1 ( p2_r0_s1 ))
(( p1_r0 ) p1_r0_s# ( p2_r0_s# ))
(( p1_r1 ) p1_r1_s0 ( p2_r1_s0 ))
(( p1_r1 ) p1_r1_s1 ( p2_r1_s1 ))
(( p1_r1 ) p1_r1_s# ( p2_r1_s# ))
(( p1_r2 ) p1_r2_s0 ( p2_r2_s0 ))
(( p1_r2 ) p1_r2_s1 ( p2_r2_s1 ))
(( p1_r2 ) p1_r2_s# ( p2_r2_s# ))
Transition Relations:
( p0_q0 p0_r1 p0_r1_s0 ( p1_q0 p1_r2 p1_r1_s0 ))
( p0_q0 p0_r1 p0_r1_s1 ( p1_q1 p1_r2 p1_r1_s1 ))
( p0_q0 p0_r1 p0_r1_s# ( p1_q# p1_r0 p1_r1_s# ))
( p0_q0 p0_r2 p0_r2_s# ( p1_q# p1_r1 p1_r2_s# ))
( p0_q1 p0_r1 p0_r1_s0 ( p1_q1 p1_r2 p1_r1_s0 ))
( p0_q1 p0_r1 p0_r1_s1 ( p1_q0 p1_r2 p1_r1_s1 ))
( p0_q1 p0_r1 p0_r1_s# ( p1_q* p1_r0 p1_r1_s# ))
( p0_q1 p0_r2 p0_r2_s# ( p1_q* p1_r1 p1_r2_s# ))
( p1_q0 p1_r1 p1_r1_s0 ( p2_q0 p2_r2 p2_r1_s0 ))
( p1_q0 p1_r1 p1_r1_s1 ( p2_q1 p2_r2 p2_r1_s1 ))
( p1_q0 p1_r1 p1_r1_s# ( p2_q# p2_r0 p2_r1_s# ))
( p1_q0 p1_r2 p1_r2_s# ( p2_q# p2_r1 p2_r2_s# ))
( p1_q1 p1_r1 p1_r1_s0 ( p2_q1 p2_r2 p2_r1_s0 ))
( p1_q1 p1_r1 p1_r1_s1 ( p2_q0 p2_r2 p2_r1_s1 ))
( p1_q1 p1_r1 p1_r1_s# ( p2_q* p2_r0 p2_r1_s# ))
( p1_q1 p1_r2 p1_r2_s# ( p2_q* p2_r1 p2_r2_s# ))
o~~~~~~~~~o~~~~~~~~~o~INTERPRETATION~o~~~~~~~~~o~~~~~~~~~o
Interpretation of the Propositional Program:
Mediate Conditions:
( p0_q# ( p1_q# ))
( p0_q* ( p1_q* ))
( p1_q# ( p2_q# ))
( p1_q* ( p2_q* ))
In Ref Log, an expression of the form "( X ( Y ))"
expresses an implication or an if-then proposition:
"Not X without Y", "If X then Y", "X => Y", etc.
A text string expression of the form "( X ( Y ))"
parses to a graphical data-structure of the form:
X Y
o---o
|
@
All together, these Mediate Conditions state:
| If at p_0 M is in state q_#, then at p_1 M is in state q_#, and
| If at p_0 M is in state q_*, then at p_1 M is in state q_*, and
| If at p_1 M is in state q_#, then at p_2 M is in state q_#, and
| If at p_1 M is in state q_*, then at p_2 M is in state q_*.
Terminal Conditions:
(( p2_q# )( p2_q* ))
In Ref Log, an expression of the form "(( X )( Y ))"
expresses a disjunction "X or Y" and it parses into:
X Y
o o
\ /
o
|
@
In effect, the Terminal Conditions state:
| At p_2, M is in state q_#, or
| At p_2, M is in state q_*.
State Partition:
(( p0_q0 ),( p0_q1 ),( p0_q# ),( p0_q* ))
(( p1_q0 ),( p1_q1 ),( p1_q# ),( p1_q* ))
(( p2_q0 ),( p2_q1 ),( p2_q# ),( p2_q* ))
In Ref Log, an expression of the form "(( e_1 ),( e_2 ),( ... ),( e_k ))"
expresses the fact that "exactly one of the e_j is true, for j = 1 to k".
Expressions of this form are called "universal partition" expressions, and
they parse into a type of graph called a "painted and rooted cactus" (PARC):
e_1 e_2 ... e_k
o o o
| | |
o-----o--- ... ---o
\ /
\ /
\ /
\ /
\ /
\ /
\ /
\ /
@
The State Partition expresses the conditions that:
| At each of the points-in-time p_i, for i = 0 to 2,
| M can be in exactly one state q_j, for j in the set {0, 1, #, *}.
Register Partition:
(( p0_r0 ),( p0_r1 ),( p0_r2 ))
(( p1_r0 ),( p1_r1 ),( p1_r2 ))
(( p2_r0 ),( p2_r1 ),( p2_r2 ))
The Register Partition expresses the conditions that:
| At each of the points-in-time p_i, for i = 0 to 2,
| H can be on exactly one cell r_j, for j = 0 to 2.
Symbol Partition:
(( p0_r0_s0 ),( p0_r0_s1 ),( p0_r0_s# ))
(( p0_r1_s0 ),( p0_r1_s1 ),( p0_r1_s# ))
(( p0_r2_s0 ),( p0_r2_s1 ),( p0_r2_s# ))
(( p1_r0_s0 ),( p1_r0_s1 ),( p1_r0_s# ))
(( p1_r1_s0 ),( p1_r1_s1 ),( p1_r1_s# ))
(( p1_r2_s0 ),( p1_r2_s1 ),( p1_r2_s# ))
(( p2_r0_s0 ),( p2_r0_s1 ),( p2_r0_s# ))
(( p2_r1_s0 ),( p2_r1_s1 ),( p2_r1_s# ))
(( p2_r2_s0 ),( p2_r2_s1 ),( p2_r2_s# ))
The Symbol Partition expresses the conditions that:
| At each of the points-in-time p_i, for i in {0, 1, 2},
| in each of the tape-registers r_j, for j in {0, 1, 2},
| there can be exactly one sign s_k, for k in {0, 1, #}.
Interaction Conditions:
(( p0_r0 ) p0_r0_s0 ( p1_r0_s0 ))
(( p0_r0 ) p0_r0_s1 ( p1_r0_s1 ))
(( p0_r0 ) p0_r0_s# ( p1_r0_s# ))
(( p0_r1 ) p0_r1_s0 ( p1_r1_s0 ))
(( p0_r1 ) p0_r1_s1 ( p1_r1_s1 ))
(( p0_r1 ) p0_r1_s# ( p1_r1_s# ))
(( p0_r2 ) p0_r2_s0 ( p1_r2_s0 ))
(( p0_r2 ) p0_r2_s1 ( p1_r2_s1 ))
(( p0_r2 ) p0_r2_s# ( p1_r2_s# ))
(( p1_r0 ) p1_r0_s0 ( p2_r0_s0 ))
(( p1_r0 ) p1_r0_s1 ( p2_r0_s1 ))
(( p1_r0 ) p1_r0_s# ( p2_r0_s# ))
(( p1_r1 ) p1_r1_s0 ( p2_r1_s0 ))
(( p1_r1 ) p1_r1_s1 ( p2_r1_s1 ))
(( p1_r1 ) p1_r1_s# ( p2_r1_s# ))
(( p1_r2 ) p1_r2_s0 ( p2_r2_s0 ))
(( p1_r2 ) p1_r2_s1 ( p2_r2_s1 ))
(( p1_r2 ) p1_r2_s# ( p2_r2_s# ))
In briefest terms, the Interaction Conditions merely express
the circumstance that the sign in a tape-cell cannot change
between two points-in-time unless the tape-head is over the
cell in question at the initial one of those points-in-time.
All that we have to do is to see how they manage to say this.
In Ref Log, an expression of the following form:
"(( p<i>_r<j> ) p<i>_r<j>_s<k> ( p<i+1>_r<j>_s<k> ))",
and which parses as the graph:
p<i>_r<j> o o p<i+1>_r<j>_s<k>
\ /
p<i>_r<j>_s<k> o
|
@
can be read in the form of the following implication:
| If
| at the point-in-time p<i>, the tape-cell r<j> bears the mark s<k>,
| but it is not the case that
| at the point-in-time p<i>, the tape-head is on the tape-cell r<j>.
| then
| at the point-in-time p<i+1>, the tape-cell r<j> bears the mark s<k>.
Folks among us of a certain age and a peculiar manner of acculturation will
recognize these as the "Frame Conditions" for the change of state of the TM.
Transition Relations:
( p0_q0 p0_r1 p0_r1_s0 ( p1_q0 p1_r2 p1_r1_s0 ))
( p0_q0 p0_r1 p0_r1_s1 ( p1_q1 p1_r2 p1_r1_s1 ))
( p0_q0 p0_r1 p0_r1_s# ( p1_q# p1_r0 p1_r1_s# ))
( p0_q0 p0_r2 p0_r2_s# ( p1_q# p1_r1 p1_r2_s# ))
( p0_q1 p0_r1 p0_r1_s0 ( p1_q1 p1_r2 p1_r1_s0 ))
( p0_q1 p0_r1 p0_r1_s1 ( p1_q0 p1_r2 p1_r1_s1 ))
( p0_q1 p0_r1 p0_r1_s# ( p1_q* p1_r0 p1_r1_s# ))
( p0_q1 p0_r2 p0_r2_s# ( p1_q* p1_r1 p1_r2_s# ))
( p1_q0 p1_r1 p1_r1_s0 ( p2_q0 p2_r2 p2_r1_s0 ))
( p1_q0 p1_r1 p1_r1_s1 ( p2_q1 p2_r2 p2_r1_s1 ))
( p1_q0 p1_r1 p1_r1_s# ( p2_q# p2_r0 p2_r1_s# ))
( p1_q0 p1_r2 p1_r2_s# ( p2_q# p2_r1 p2_r2_s# ))
( p1_q1 p1_r1 p1_r1_s0 ( p2_q1 p2_r2 p2_r1_s0 ))
( p1_q1 p1_r1 p1_r1_s1 ( p2_q0 p2_r2 p2_r1_s1 ))
( p1_q1 p1_r1 p1_r1_s# ( p2_q* p2_r0 p2_r1_s# ))
( p1_q1 p1_r2 p1_r2_s# ( p2_q* p2_r1 p2_r2_s# ))
The Transition Conditions merely serve to express,
by means of 16 complex implication expressions,
the data of the TM table that was given above.
o~~~~~~~~~o~~~~~~~~~o~~OUTPUTS~~o~~~~~~~~~o~~~~~~~~~o
And here are the outputs of the computation,
as emulated by its propositional rendition,
and as actually generated within that form
of transmogrification by the program that
I wrote for finding all of the satisfying
interpretations (truth-value assignments)
of propositional expressions in Ref Log:
o~~~~~~~~~o~~~~~~~~~o~OUTPUT~0~o~~~~~~~~~o~~~~~~~~~o
Output Conditions:
p0_q0
p0_r1
p0_r0_s#
p0_r1_s0
p0_r2_s#
p1_q0
p1_r2
p1_r2_s#
p1_r0_s#
p1_r1_s0
p2_q#
p2_r1
p2_r0_s#
p2_r1_s0
p2_r2_s#
The Output Conditions amount to the sole satisfying interpretation,
that is, a "sequence of truth-value assignments" (SOTVA) that make
the entire proposition come out true, and they state the following:
| At the point-in-time p_0, M is in the state q_0, and
| At the point-in-time p_0, H is on the cell r_1, and
| At the point-in-time p_0, cell r_0 bears the mark "#", and
| At the point-in-time p_0, cell r_1 bears the mark "0", and
| At the point-in-time p_0, cell r_2 bears the mark "#", and
|
| At the point-in-time p_1, M is in the state q_0, and
| At the point-in-time p_1, H is on the cell r_2, and
| At the point-in-time p_1, cell r_0 bears the mark "#", and
| At the point-in-time p_1, cell r_1 bears the mark "0", and
| At the point-in-time p_1, cell r_2 bears the mark "#", and
|
| At the point-in-time p_2, M is in the state q_#, and
| At the point-in-time p_2, H is on the cell r_1, and
| At the point-in-time p_2, cell r_0 bears the mark "#", and
| At the point-in-time p_2, cell r_1 bears the mark "0", and
| At the point-in-time p_2, cell r_2 bears the mark "#".
In brief, the output for our sake being the symbol that rests
under the tape-head H when the machine M gets to a rest state,
we are now amazed by the remarkable result that Parity(0) = 0.
o~~~~~~~~~o~~~~~~~~~o~OUTPUT~1~o~~~~~~~~~o~~~~~~~~~o
Output Conditions:
p0_q0
p0_r1
p0_r0_s#
p0_r1_s1
p0_r2_s#
p1_q1
p1_r2
p1_r2_s#
p1_r0_s#
p1_r1_s1
p2_q*
p2_r1
p2_r0_s#
p2_r1_s1
p2_r2_s#
The Output Conditions amount to the sole satisfying interpretation,
that is, a "sequence of truth-value assignments" (SOTVA) that make
the entire proposition come out true, and they state the following:
| At the point-in-time p_0, M is in the state q_0, and
| At the point-in-time p_0, H is on the cell r_1, and
| At the point-in-time p_0, cell r_0 bears the mark "#", and
| At the point-in-time p_0, cell r_1 bears the mark "1", and
| At the point-in-time p_0, cell r_2 bears the mark "#", and
|
| At the point-in-time p_1, M is in the state q_1, and
| At the point-in-time p_1, H is on the cell r_2, and
| At the point-in-time p_1, cell r_0 bears the mark "#", and
| At the point-in-time p_1, cell r_1 bears the mark "1", and
| At the point-in-time p_1, cell r_2 bears the mark "#", and
|
| At the point-in-time p_2, M is in the state q_*, and
| At the point-in-time p_2, H is on the cell r_1, and
| At the point-in-time p_2, cell r_0 bears the mark "#", and
| At the point-in-time p_2, cell r_1 bears the mark "1", and
| At the point-in-time p_2, cell r_2 bears the mark "#".
In brief, the output for our sake being the symbol that rests
under the tape-head H when the machine M gets to a rest state,
we are now amazed by the remarkable result that Parity(1) = 1.
I realized after sending that last bunch of bits that there is room
for confusion about what is the input/output of the Study module of
the Theme One program as opposed to what is the input/output of the
"finitely approximated turing automaton" (FATA). So here is better
delineation of what's what. The input to Study is a text file that
is known as LogFile(Whatever) and the output of Study is a sequence
of text files that summarize the various canonical and normal forms
that it generates. For short, let us call these NormFile(Whatelse).
With that in mind, here are the actual IO's of Study, excluding the
glosses in square brackets:
o~~~~~~~~~o~~~~~~~~~o~~INPUT~~o~~~~~~~~~o~~~~~~~~~o
[Input To Study = FATA Initial Conditions + FATA Program Conditions]
[FATA Initial Conditions For Input 0]
p0_q0
p0_r1
p0_r0_s#
p0_r1_s0
p0_r2_s#
[FATA Program Conditions For Parity Machine]
[Mediate Conditions]
( p0_q# ( p1_q# ))
( p0_q* ( p1_q* ))
( p1_q# ( p2_q# ))
( p1_q* ( p2_q* ))
[Terminal Conditions]
(( p2_q# )( p2_q* ))
[State Partition]
(( p0_q0 ),( p0_q1 ),( p0_q# ),( p0_q* ))
(( p1_q0 ),( p1_q1 ),( p1_q# ),( p1_q* ))
(( p2_q0 ),( p2_q1 ),( p2_q# ),( p2_q* ))
[Register Partition]
(( p0_r0 ),( p0_r1 ),( p0_r2 ))
(( p1_r0 ),( p1_r1 ),( p1_r2 ))
(( p2_r0 ),( p2_r1 ),( p2_r2 ))
[Symbol Partition]
(( p0_r0_s0 ),( p0_r0_s1 ),( p0_r0_s# ))
(( p0_r1_s0 ),( p0_r1_s1 ),( p0_r1_s# ))
(( p0_r2_s0 ),( p0_r2_s1 ),( p0_r2_s# ))
(( p1_r0_s0 ),( p1_r0_s1 ),( p1_r0_s# ))
(( p1_r1_s0 ),( p1_r1_s1 ),( p1_r1_s# ))
(( p1_r2_s0 ),( p1_r2_s1 ),( p1_r2_s# ))
(( p2_r0_s0 ),( p2_r0_s1 ),( p2_r0_s# ))
(( p2_r1_s0 ),( p2_r1_s1 ),( p2_r1_s# ))
(( p2_r2_s0 ),( p2_r2_s1 ),( p2_r2_s# ))
[Interaction Conditions]
(( p0_r0 ) p0_r0_s0 ( p1_r0_s0 ))
(( p0_r0 ) p0_r0_s1 ( p1_r0_s1 ))
(( p0_r0 ) p0_r0_s# ( p1_r0_s# ))
(( p0_r1 ) p0_r1_s0 ( p1_r1_s0 ))
(( p0_r1 ) p0_r1_s1 ( p1_r1_s1 ))
(( p0_r1 ) p0_r1_s# ( p1_r1_s# ))
(( p0_r2 ) p0_r2_s0 ( p1_r2_s0 ))
(( p0_r2 ) p0_r2_s1 ( p1_r2_s1 ))
(( p0_r2 ) p0_r2_s# ( p1_r2_s# ))
(( p1_r0 ) p1_r0_s0 ( p2_r0_s0 ))
(( p1_r0 ) p1_r0_s1 ( p2_r0_s1 ))
(( p1_r0 ) p1_r0_s# ( p2_r0_s# ))
(( p1_r1 ) p1_r1_s0 ( p2_r1_s0 ))
(( p1_r1 ) p1_r1_s1 ( p2_r1_s1 ))
(( p1_r1 ) p1_r1_s# ( p2_r1_s# ))
(( p1_r2 ) p1_r2_s0 ( p2_r2_s0 ))
(( p1_r2 ) p1_r2_s1 ( p2_r2_s1 ))
(( p1_r2 ) p1_r2_s# ( p2_r2_s# ))
[Transition Relations]
( p0_q0 p0_r1 p0_r1_s0 ( p1_q0 p1_r2 p1_r1_s0 ))
( p0_q0 p0_r1 p0_r1_s1 ( p1_q1 p1_r2 p1_r1_s1 ))
( p0_q0 p0_r1 p0_r1_s# ( p1_q# p1_r0 p1_r1_s# ))
( p0_q0 p0_r2 p0_r2_s# ( p1_q# p1_r1 p1_r2_s# ))
( p0_q1 p0_r1 p0_r1_s0 ( p1_q1 p1_r2 p1_r1_s0 ))
( p0_q1 p0_r1 p0_r1_s1 ( p1_q0 p1_r2 p1_r1_s1 ))
( p0_q1 p0_r1 p0_r1_s# ( p1_q* p1_r0 p1_r1_s# ))
( p0_q1 p0_r2 p0_r2_s# ( p1_q* p1_r1 p1_r2_s# ))
( p1_q0 p1_r1 p1_r1_s0 ( p2_q0 p2_r2 p2_r1_s0 ))
( p1_q0 p1_r1 p1_r1_s1 ( p2_q1 p2_r2 p2_r1_s1 ))
( p1_q0 p1_r1 p1_r1_s# ( p2_q# p2_r0 p2_r1_s# ))
( p1_q0 p1_r2 p1_r2_s# ( p2_q# p2_r1 p2_r2_s# ))
( p1_q1 p1_r1 p1_r1_s0 ( p2_q1 p2_r2 p2_r1_s0 ))
( p1_q1 p1_r1 p1_r1_s1 ( p2_q0 p2_r2 p2_r1_s1 ))
( p1_q1 p1_r1 p1_r1_s# ( p2_q* p2_r0 p2_r1_s# ))
( p1_q1 p1_r2 p1_r2_s# ( p2_q* p2_r1 p2_r2_s# ))
o~~~~~~~~~o~~~~~~~~~o~~OUTPUT~~o~~~~~~~~~o~~~~~~~~~o
[Output Of Study = FATA Output For Input 0]
p0_q0
p0_r1
p0_r0_s#
p0_r1_s0
p0_r2_s#
p1_q0
p1_r2
p1_r2_s#
p1_r0_s#
p1_r1_s0
p2_q#
p2_r1
p2_r0_s#
p2_r1_s0
p2_r2_s#
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
Turing automata, finitely approximated or not, make my head spin and
my tape go loopy, and I still believe 'twere a far better thing I do
if I work up to that level of complexity in a more gracile graduated
manner. So let us return to our Example in this gradual progress to
that vastly more well-guarded grail of our long-term pilgrim's quest:
| boy male girl female
| o---o child o---o child
| male female \ / \ / child human
| o---o o o o--o
| \ / | | |
| @ @ @ @
|
| (male , female)((boy , male child))((girl , female child))(child (human))
One section of the Theme One program has a suite of utilities that fall
under the title "Theme One Study" ("To Study", or just "TOS" for short).
To Study is to read and to parse a so-called and a generally so-suffixed
"log" file, and then to conjoin what is called a "query", which is really
just an additional propositional expression that imposes a further logical
constraint on the input expression.
The Figure roughly sketches the conjuncts of the graph-theoretic
data structure that the parser would commit to memory on reading
the appropriate log file that contains the text along the bottom.
I will now explain the various sorts of things that the TOS utility
can do with the log file that describes the universe of discourse in
our present Example.
Theme One Study is built around a suite of four successive generators
of "normal forms" for propositional expressions, just to use that term
in a very approximate way. The functions that compute these normal forms
are called "Model", "Tenor", "Canon", and "Sense", and so we may refer to
to their text-style outputs as the "mod", "ten", "can", and "sen" files.
Though it could be any propositional expression on the same vocabulary
$A$ = {"boy", "child", "female", "girl", "human", "male"}, more usually
the query is a simple conjunction of one or more positive features that
we want to focus on or perhaps to filter out of the logical model space.
On our first run through this Example, we take the log file proposition
as it is, with no extra riders.
| Procedural Note. TO Study Model displays a running tab of how much
| free memory space it has left. On some of the harder problems that
| you may think of to give it, Model may run out of free memory and
| terminate, abnormally exiting Theme One. Sometimes it helps to:
|
| 1. Rephrase the problem in logically equivalent
| but rhetorically increasedly felicitous ways.
|
| 2. Think of additional facts that are taken for granted but not
| made explicit and that cannot be logically inferred by Model.
After Model has finished, it is ready to write out its mod file,
which you may choose to show on the screen or save to a named file.
Mod files are usually too long to see (or to care to see) all at once
on the screen, so it is very often best to save them for later replay.
In our Example the Model function yields a mod file that looks like so:
Model Output and
Mod File Example
o-------------------o
| male |
| female - | 1
| (female ) |
| girl - | 2
| (girl ) |
| child |
| boy |
| human * | 3 *
| (human ) - | 4
| (boy ) - | 5
| (child ) |
| boy - | 6
| (boy ) * | 7 *
| (male ) |
| female |
| boy - | 8
| (boy ) |
| child |
| girl |
| human * | 9 *
| (human ) - | 10
| (girl ) - | 11
| (child ) |
| girl - | 12
| (girl ) * | 13 *
| (female ) - | 14
o-------------------o
Counting the stars "*" that indicate true interpretations
and the bars "-" that indicate false interpretations of
the input formula, we can see that the Model function,
out of the 64 possible interpretations, has actually
gone through the work of making just 14 evaluations,
all in order to find the 4 models that are allowed
by the input definitions.
To be clear about what this output means, the starred paths
indicate all of the complete specifications of objects in the
universe of discourse, that is, all of the consistent feature
conjunctions of maximum length, as permitted by the definitions
that are given in the log file.
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
Let's take a little break from the Example in progress
and look at where we are and what we have been doing from
computational, logical, and semiotic perspectives. Because,
after all, as is usually the case, we should not let our focus
and our fascination with this particular Example prevent us from
recognizing it, and all that we do with it, as just an Example of
much broader paradigms and predicaments and principles, not to say
but a glimmer of ultimately more concernful and fascinating objects.
I chart the progression that we have just passed through in this way:
| Parse
| Sign A o-------------->o Sign 1
| ^ |
| / |
| / |
| / |
| Object o | Transform
| ^ |
| \ |
| \ |
| \ v
| Sign B o<--------------o Sign 2
| Verse
|
| Figure. Computation As Sign Transformation
In the present case, the Object is an objective situation
or a state of affairs, in effect, a particular pattern of
feature concurrences occurring to us in that world through
which we find ourselves most frequently faring, wily nily,
and the Signs are different tokens and different types of
data structures that we somehow or other find it useful
to devise or to discover for the sake of representing
current objects to ourselves on a recurring basis.
But not all signs, not even signs of a single object, are alike
in every other respect that one might name, not even with respect
to their powers of relating, significantly, to that common object.
And that is what our whole business of computation busies itself about,
when it minds its business best, that is, transmuting signs into signs
in ways that augment their powers of relating significantly to objects.
We have seen how the Model function and the mod output format
indicate all of the complete specifications of objects in the
universe of discourse, that is, all of the consistent feature
conjunctions of maximal specificity that are permitted by the
constraints or the definitions that are given in the log file.
To help identify these specifications of particular cells in
the universe of discourse, the next function and output format,
called "Tenor", edits the mod file to give only the true paths,
in effect, the "positive models", that are by default what we
usually mean when we say "models", and not the "anti-models"
or the "negative models" that fail to satisfy the formula
in question.
In the present Example the Tenor function
generates a Ten file that looks like this:
Tenor Output and
Ten File Example
o-------------------o
| male |
| (female ) |
| (girl ) |
| child |
| boy |
| human * | <1>
| (child ) |
| (boy ) * | <2>
| (male ) |
| female |
| (boy ) |
| child |
| girl |
| human * | <3>
| (child ) |
| (girl ) * | <4>
o-------------------o
As I said, the Tenor function just abstracts a transcript of the models,
that is, the satisfying interpretations, that were already interspersed
throughout the complete Model output. These specifications, or feature
conjunctions, with the positive and the negative features listed in the
order of their actual budding on the "arboreal boolean expansion" twigs,
may be gathered and arranged in this antherypulogical flowering bouquet:
1. male (female ) (girl ) child boy human *
2. male (female ) (girl ) (child ) (boy ) *
3. (male ) female (boy ) child girl human *
4. (male ) female (boy ) (child ) (girl ) *
Notice that Model, as reflected in this abstract, did not consider
the six positive features in the same order along each path. This
is because the algorithm was designed to proceed opportunistically
in its attempt to reduce the original proposition through a series
of case-analytic considerations and the resulting simplifications.
Notice, too, that Model is something of a lazy evaluator, quitting work
when and if a value is determined by less than the full set of variables.
This is the reason why paths <2> and <4> are not ostensibly of the maximum
length. According to this lazy mode of understanding, any path that is not
specified on a set of features really stands for the whole bundle of paths
that are derived by freely varying those features. Thus, specifications
<2> and <4> summarize four models altogether, with the logical choice
between "human" and "not human" being left open at the point where
they leave off their branches in the releavent deciduous tree.
The last two functions in the Study section, "Canon" and "Sense",
extract further derivatives of the normal forms that are produced
by Model and Tenor. Both of these functions take the set of model
paths and simply throw away the negative labels. You may think of
these as the "rose colored glasses" or "job interview" normal forms,
in that they try to say everything that's true, so long as it can be
expressed in positive terms. Generally, this would mean losing a lot
of information, and the result could no longer be expected to have the
property of remaining logically equivalent to the original proposition.
Fortunately, however, it seems that this type of positive projection of
the whole truth is just what is possible, most needed, and most clear in
many of the "natural" examples, that is, in examples that arise from the
domains of natural language and natural conceptual kinds. In these cases,
where most of the logical features are redundantly coded, for example, in
the way that "adult" = "not child" and "child" = "not adult", the positive
feature bearing redacts are often sufficiently expressive all by themselves.
Canon merely censors its printing of the negative labels as it traverses the
model tree. This leaves the positive labels in their original columns of the
outline form, giving it a slightly skewed appearance. This can be misleading
unless you already know what you are looking for. However, this Canon format
is computationally quick, and frequently suffices, especially if you already
have a likely clue about what to expect in the way of a question's outcome.
In the present Example the Canon function
generates a Can file that looks like this:
Canon Output and
Can File Example
o-------------------o
| male |
| child |
| boy |
| human |
| female |
| child |
| girl |
| human |
o-------------------o
The Sense function does the extra work that is required
to place the positive labels of the model tree at their
proper level in the outline.
In the present Example the Sense function
generates a Sen file that looks like this:
Sense Output and
Sen File Example
o-------------------o
| male |
| child |
| boy |
| human |
| female |
| child |
| girl |
| human |
o-------------------o
The Canon and Sense outlines for this Example illustrate a certain
type of general circumstance that needs to be noted at this point.
Recall the model paths or the feature specifications that were
numbered <2> and <4> in the listing of the output for Tenor.
These paths, in effect, reflected Model's discovery that
the venn diagram cells for male or female non-children
and male or female non-humans were not excluded by
the definitions that were given in the Log file.
In the abstracts given by Canon and Sense, the
specifications <2> and <4> have been subsumed,
or absorbed unmarked, under the general topics
of their respective genders, male or female.
This happens because no purely positive
features were supplied to distinguish
the non-child and non-human cases.
That completes the discussion of
this six-dimensional Example.
Nota Bene, for possible future use. In the larger current of work
with respect to which this meander of a conduit was initially both
diversionary and tributary, before those high and dry regensquirm
years when it turned into an intellectual interglacial oxbow lake,
I once had in mind a scape in which expressions in a definitional
lattice were ordered according to their simplicity on some scale
or another, and in this setting the word "sense" was actually an
acronym for "semantically equivalent next-simplest expression".
| If this is starting to sound a little bit familiar,
| it may be because the relationship between the two
| kinds of pictures of propositions, namely:
|
| 1. Propositions about things in general, here,
| about the times when certain facts are true,
| having the form of functions f : X -> B,
|
| 2. Propositions about binary codes, here, about
| the bit-vector labels on venn diagram cells,
| having the form of functions f' : B^k -> B,
|
| is an epically old story, one that I, myself,
| have related one or twice upon a time before,
| to wit, at least, at the following two cites:
|
| http://suo.ieee.org/email/msg01251.html
| http://suo.ieee.org/email/msg01293.html
|
| There, and now here, once more, and again, it may be observed
| that the relation is one whereby the proposition f : X -> B,
| the one about things and times and mores in general, factors
| into a coding function c : X -> B^k, followed by a derived
| proposition f' : B^k -> B that judges the resulting codes.
|
| f
| X o------>o B
| \ ^
| c = <x_1, ..., x_k> \ / f'
| v /
| o
| B^k
|
| You may remember that this was supposed to illustrate
| the "factoring" of a proposition f : X -> B = {0, 1}
| into the composition f'(c(x)), where c : X -> B^k is
| the "coding" of each x in X as an k-bit string in B^k,
| and where f' is the mapping of codes into a co-domain
| that we interpret as t-f-values, B = {0, 1} = {F, T}.
In short, there is the standard equivocation ("systematic ambiguity"?) as to
whether we are talking about the "applied" and concretely typed proposition
f : X -> B or the "pure" and abstractly typed proposition f' : B^k -> B.
Or we can think of the latter object as the approximate code icon of
the former object.
Anyway, these types of formal objects are the sorts of things that
I take to be the denotational objects of propositional expressions.
These objects, along with their invarious and insundry mathematical
properties, are the orders of things that I am talking about when
I refer to the "invariant structures in these objects themselves".
"Invariant" means "invariant under a suitable set of transformations",
in this case the translations between various languages that preserve
the objects and the structures in question. In extremest generality,
this is what universal constructions in category theory are all about.
In summation, the functions f : X -> B and f' : B* -> B have invariant, formal,
mathematical, objective properties that any adequate language might eventually
evolve to express, only some languages express them more obscurely than others.
To be perfectly honest, I continue to be surprised that anybody in this group
has trouble with this. There are perfectly apt and familiar examples in the
contrast between roman numerals and arabic numerals, or the contrast between
redundant syntaxes, like those that use the pentalphabet {~, &, v, =>, <=>},
and trimmer syntaxes, like those used in existential and conceptual graphs.
Every time somebody says "Let's take {~, &, v, =>, <=>} as an operational
basis for logic" it's just like that old joke that mathematicians tell on
engineers where the ingenue in question says "1 is a prime, 2 is a prime,
3 is a prime, 4 is a prime, ..." -- and I know you think that I'm being
hyperbolic, but I'm really only up to parabolas here ...
I have already refined my criticism so that it does not apply to
the spirit of FOL or KIF or whatever, but only to the letters of
specific syntactic proposals. There is a fact of the matter as
to whether a concrete language provides a clean or a cluttered
basis for representing the identified set of formal objects.
And it shows up in pragmatic realities like the efficiency
of real time concept formation, concept use, learnability,
reasoning power, and just plain good use of real time.
These are the dire consequences that I learned in my
very first tries at mathematically oriented theorem
automation, and the only factor that has obscured
them in mainstream work since then is the speed
with which folks can now do all of the same
old dumb things that they used to do on
their way to kludging out the answers.
It seems to be darn near impossible to explain to the
centurion all of the neat stuff that he's missing by
sticking to his old roman numerals. He just keeps
on reckoning that what he can't count must be of
no account at all. There is way too much stuff
that these original syntaxes keep us from even
beginning to discuss, like differential logic,
just for starters.
Our next Example illustrates the use of the Cactus Language
for representing "absolute" and "relative" partitions, also
known as "complete" and "contingent" classifications of the
universe of discourse, all of which amounts to divvying it
up into mutually exclusive regions, exhaustive or not, as
one frequently needs in situations involving a genus and
its sundry species, and frequently pictures in the form
of a venn diagram that looks just like a "pie chart".
Example. Partition, Genus & Species
The idea that one needs for expressing partitions
in cactus expressions can be summed up like this:
| If the propositional expression
|
| "( p , q , r , ... )"
|
| means that just one of
|
| p, q, r, ... is false,
|
| then the propositional expression
|
| "((p),(q),(r), ... )"
|
| must mean that just one of
|
| (p), (q), (r), ... is false,
|
| in other words, that just one of
|
| p, q, r, ... is true.
Thus we have an efficient means to express and to enforce
a partition of the space of models, in effect, to maintain
the condition that a number of features or propositions are
to be held in mutually exclusive and exhaustive disjunction.
This supplies a much needed bridge between the binary domain
of two values and any other domain with a finite number of
feature values.
Another variation on this theme allows one to maintain the
subsumption of many separate species under an explicit genus.
To see this, let us examine the following form of expression:
( q , ( q_1 ) , ( q_2 ) , ( q_3 ) ).
Now consider what it would mean for this to be true. We see two cases:
1. If the proposition q is true, then exactly one of the
propositions (q_1), (q_2), (q_3) must be false, and so
just one of the propositions q_1, q_2, q_3 must be true.
2. If the proposition q is false, then every one of the
propositions (q_1), (q_2), (q_2) must be true, and so
each one of the propositions q_1, q_2, q_3 must be false.
In short, if q is false then all of the other q's are also.
Figures 1 and 2 illustrate this type of situation.
Figure 1 is the venn diagram of a 4-dimensional universe of discourse
X = [q, q_1, q_2, q_3], conventionally named after the gang of four
logical features that generate it. Strictly speaking, X is made up
of two layers, the position space X of abstract type %B%^4, and the
proposition space X^ = (X -> %B%) of abstract type %B%^4 -> %B%,
but it is commonly lawful enough to sign the signature of both
spaces with the same X, and thus to give the power of attorney
for the propositions to the so-indicted position space thereof.
Figure 1 also makes use of the convention whereby the regions
or the subsets of the universe of discourse that correspond
to the basic features q, q_1, q_2, q_3 are labelled with
the parallel set of upper case letters Q, Q_1, Q_2, Q_3.
| o
| / \
| / \
| / \
| / \
| o o
| /%\ /%\
| /%%%\ /%%%\
| /%%%%%\ /%%%%%\
| /%%%%%%%\ /%%%%%%%\
| o%%%%%%%%%o%%%%%%%%%o
| / \%%%%%%%/ \%%%%%%%/ \
| / \%%%%%/ \%%%%%/ \
| / \%%%/ \%%%/ \
| / \%/ \%/ \
| o o o o
| / \ /%\ / \ / \
| / \ /%%%\ / \ / \
| / \ /%%%%%\ / \ / \
| / \ /%%%%%%%\ / \ / \
| o o%%%%%%%%%o o o
| ·\ / \%%%%%%%/ \ / \ /·
| · \ / \%%%%%/ \ / \ / ·
| · \ / \%%%/ \ / \ / ·
| · \ / \%/ \ / \ / ·
| · o o o o ·
| · ·\ / \ / \ /· ·
| · · \ / \ / \ / · ·
| · · \ / \ / \ / · ·
| · Q · \ / \ / \ / ·Q_3 ·
| ··········o o o··········
| · \ /%\ / ·
| · \ /%%%\ / ·
| · \ /%%%%%\ / ·
| · Q_1 \ /%%%%%%%\ / Q_2 ·
| ··········o%%%%%%%%%o··········
| \%%%%%%%/
| \%%%%%/
| \%%%/
| \%/
| o
|
| Figure 1. Genus Q and Species Q_1, Q_2, Q_3
Figure 2 is another form of venn diagram that one often uses,
where one collapses the unindited cells and leaves only the
models of the proposition in question. Some people would
call the transformation that changes from the first form
to the next form an operation of "taking the quotient",
but I tend to think of it as the "soap bubble picture"
or more exactly the "wire & thread & soap film" model
of the universe of discourse, where one pops out of
consideration the sections of the soap film that
stretch across the anti-model regions of space.
o-------------------------------------------------o
| |
| X |
| |
| o |
| / \ |
| / \ |
| / \ |
| / \ |
| / \ |
| o Q_1 o |
| / \ / \ |
| / \ / \ |
| / \ / \ |
| / \ / \ |
| / \ / \ |
| / Q \ |
| / | \ |
| / | \ |
| / Q_2 | Q_3 \ |
| / | \ |
| / | \ |
| o-----------------o-----------------o |
| |
| |
| |
o-------------------------------------------------o
Figure 2. Genus Q and Species Q_1, Q_2, Q_3
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
Example. Partition, Genus & Species (cont.)
Last time we considered in general terms how the forms
of complete partition and contingent partition operate
to maintain mutually disjoint and possibly exhaustive
categories of positions in a universe of discourse.
This time we contemplate another concrete Example of
near minimal complexity, designed to demonstrate how
the forms of partition and subsumption can interact
in structuring a space of feature specifications.
In this Example, we describe a universe of discourse
in terms of the following vocabulary of five features:
| L. living_thing
|
| N. non_living
|
| A. animal
|
| V. vegetable
|
| M. mineral
Let us construe these features as being subject to four constraints:
| 1. Everything is either a living_thing or non_living, but not both.
|
| 2. Everything is either animal, vegetable, or mineral,
| but no two of these together.
|
| 3. A living_thing is either animal or vegetable, but not both,
| and everything animal or vegetable is a living_thing.
|
| 4. Everything mineral is non_living.
These notions and constructions are expressed in the Log file shown below:
Logical Input File
o-------------------------------------------------o
| |
| ( living_thing , non_living ) |
| |
| (( animal ),( vegetable ),( mineral )) |
| |
| ( living_thing ,( animal ),( vegetable )) |
| |
| ( mineral ( non_living )) |
| |
o-------------------------------------------------o
The cactus expression in this file is the expression
of a "zeroth order theory" (ZOT), one that can be
paraphrased in more ordinary language to say:
Translation
o-------------------------------------------------o
| |
| living_thing =/= non_living |
| |
| par : all -> {animal, vegetable, mineral} |
| |
| par : living_thing -> {animal, vegetable} |
| |
| mineral => non_living |
| |
o-------------------------------------------------o
Here, "par : all -> {p, q, r}" is short for an assertion
that the universe as a whole is partitioned into subsets
that correspond to the features p, q, r.
Also, "par : q -> {r, s}" asserts that "Q partitions into R and S.
It is probably enough just to list the outputs of Model, Tenor, and Sense
when run on the preceding Log file. Using the same format and labeling as
before, we may note that Model has, from 2^5 = 32 possible interpretations,
made 11 evaluations, and found 3 models answering the generic descriptions
that were imposed by the logical input file.
Model Outline
o------------------------o
| living_thing |
| non_living - | 1
| (non_living ) |
| mineral - | 2
| (mineral ) |
| animal |
| vegetable - | 3
| (vegetable ) * | 4 *
| (animal ) |
| vegetable * | 5 *
| (vegetable ) - | 6
| (living_thing ) |
| non_living |
| animal - | 7
| (animal ) |
| vegetable - | 8
| (vegetable ) |
| mineral * | 9 *
| (mineral ) - | 10
| (non_living ) - | 11
o------------------------o
Tenor Outline
o------------------------o
| living_thing |
| (non_living ) |
| (mineral ) |
| animal |
| (vegetable ) * | <1>
| (animal ) |
| vegetable * | <2>
| (living_thing ) |
| non_living |
| (animal ) |
| (vegetable ) |
| mineral * | <3>
o------------------------o
Sense Outline
o------------------------o
| living_thing |
| animal |
| vegetable |
| non_living |
| mineral |
o------------------------o
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
Example. Molly's World
I think that we are finally ready to tackle a more respectable example.
The Example known as "Molly's World" is borrowed from the literature on
computational learning theory, adapted with a few changes from the example
called "Molly’s Problem" in the paper "Learning With Hints" by Dana Angluin.
By way of setting up the problem, I quote Angluin's motivational description:
| Imagine that you have become acquainted with an alien named Molly from the
| planet Ornot, who is currently employed in a day-care center. She is quite
| good at propositional logic, but a bit weak on knowledge of Earth. So you
| decide to formulate the beginnings of a propositional theory to help her
| label things in her immediate environment.
|
| Angluin, Dana, "Learning With Hints", pages 167-181, in:
| David Haussler & Leonard Pitt (eds.), 'Proceedings of the 1988 Workshop
| on Computational Learning Theory', Morgan Kaufmann, San Mateo, CA, 1989.
The purpose of this quaint pretext is, of course, to make sure that the
reader appreciates the constraints of the problem: that no extra savvy
is fair, all facts must be presumed or deduced on the immediate premises.
My use of this example is not directly relevant to the purposes of the
discussion from which it is taken, so I simply give my version of it
without comment on those issues.
Here is my rendition of the initial knowledge base delimiting Molly’s World:
Logical Input File: Molly.Log
o---------------------------------------------------------------------o
| |
| ( object ,( toy ),( vehicle )) |
| (( small_size ),( medium_size ),( large_size )) |
| (( two_wheels ),( three_wheels ),( four_wheels )) |
| (( no_seat ),( one_seat ),( few_seats ),( many_seats )) |
| ( object ,( scooter ),( bike ),( trike ),( car ),( bus ),( wagon )) |
| ( two_wheels no_seat ,( scooter )) |
| ( two_wheels one_seat pedals ,( bike )) |
| ( three_wheels one_seat pedals ,( trike )) |
| ( four_wheels few_seats doors ,( car )) |
| ( four_wheels many_seats doors ,( bus )) |
| ( four_wheels no_seat handle ,( wagon )) |
| ( scooter ( toy small_size )) |
| ( wagon ( toy small_size )) |
| ( trike ( toy small_size )) |
| ( bike small_size ( toy )) |
| ( bike medium_size ( vehicle )) |
| ( bike large_size ) |
| ( car ( vehicle large_size )) |
| ( bus ( vehicle large_size )) |
| ( toy ( object )) |
| ( vehicle ( object )) |
| |
o---------------------------------------------------------------------o
All of the logical forms that are used in the preceding Log file
will probably be familiar from earlier discussions. The purpose
of one or two constructions may, however, be a little obscure,
so I will insert a few words of additional explanation here:
The rule "( bike large_size )", for example, merely
says that nothing can be both a bike and large_size.
The rule "( three_wheels one_seat pedals ,( trike ))" says that anything
with all the features of three_wheels, one_seat, and pedals is excluded
from being anything but a trike. In short, anything with just those
three features is equivalent to a trike.
Recall that the form "( p , q )" may be interpreted to assert either
the exclusive disjunction or the logical inequivalence of p and q.
The rules have been stated in this particular way simply
to imitate the style of rules in the reference example.
This last point does bring up an important issue, the question
of "rhetorical" differences in expression and their potential
impact on the "pragmatics" of computation. Unfortunately,
I will have to abbreviate my discussion of this topic for
now, and only mention in passing the following facts.
Logically equivalent expressions, even though they must lead
to logically equivalent normal forms, may have very different
characteristics when it comes to the efficiency of processing.
For instance, consider the following four forms:
| 1. (( p , q ))
|
| 2. ( p ,( q ))
|
| 3. (( p ), q )
|
| 4. (( p , q ))
All of these are equally succinct ways of maintaining that
p is logically equivalent to q, yet each can have different
effects on the route that Model takes to arrive at an answer.
Apparently, some equalities are more equal than others.
These effects occur partly because the algorithm chooses to make cases
of variables on a basis of leftmost shallowest first, but their impact
can be complicated by the interactions that each expression has with
the context that it occupies. The main lesson to take away from all
of this, at least, for the time being, is that it is probably better
not to bother too much about these problems, but just to experiment
with different ways of expressing equivalent pieces of information
until you get a sense of what works best in various situations.
I think that you will be happy to see only the
ultimate Sense of Molly’s World, so here it is:
Sense Outline: Molly.Sen
o------------------------o
| object |
| two_wheels |
| no_seat |
| scooter |
| toy |
| small_size |
| one_seat |
| pedals |
| bike |
| small_size |
| toy |
| medium_size |
| vehicle |
| three_wheels |
| one_seat |
| pedals |
| trike |
| toy |
| small_size |
| four_wheels |
| few_seats |
| doors |
| car |
| vehicle |
| large_size |
| many_seats |
| doors |
| bus |
| vehicle |
| large_size |
| no_seat |
| handle |
| wagon |
| toy |
| small_size |
o------------------------o
This outline is not the Sense of the unconstrained Log file,
but the result of running Model with a query on the single
feature "object". Using this focus helps the Modeler
to make more relevant Sense of Molly’s World.
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
DM = Douglas McDavid
DM: This, again, is an example of how real issues of ontology are
so often trivialized at the expense of technicalities. I just
had a burger, some fries, and a Coke. I would say all that was
non-living and non-mineral. A virus, I believe is non-animal,
non-vegetable, but living (and non-mineral). Teeth, shells,
and bones are virtually pure mineral, but living. These are
the kinds of issues that are truly "ontological," in my
opinion. You are not the only one to push them into
the background as of lesser importance. See the
discussion of "18-wheelers" in John Sowa's book.
it's not my example, and from you say, it's not your example either.
copied it out of a book or a paper somewhere, too long ago to remember.
i am assuming that the author or tardition from which it came must have
seen some kind of sense in it. tell you what, write out your own theory
of "what is" in so many variables, more or less, publish it in a book or
a paper, and then folks will tell you that they dispute each and every
thing that you have just said, and it won't really matter all that much
how complex it is or how subtle you are. that has been the way of all
ontology for about as long as anybody can remember or even read about.
me? i don't have sufficient arrogance to be an ontologist, and you
know that's saying a lot, as i can't even imagine a way to convince
myself that i believe i know "what is", really and truly for sure
like some folks just seem to do. so i am working to improve our
technical ability to do logic, which is mostly a job of shooting
down the more serious delusions that we often get ourselves into.
can i be of any use to ontologists? i dunno. i guess it depends
on how badly they are attached to some of the delusions of knowing
what their "common" sense tells them everybody ought to already know,
but that every attempt to check that out in detail tells them it just
ain't so. a problem for which denial was just begging to be invented,
and so it was.
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
Example. Molly's World (cont.)
In preparation for a contingently possible future discussion,
I need to attach a few parting thoughts to the case workup
of Molly's World that may not seem terribly relevant to
the present setting, but whose pertinence I hope will
become clearer in time.
The logical paradigm from which this Example was derived is that
of "Zeroth Order Horn Clause Theories". The clauses at issue
in these theories are allowed to be of just three kinds:
| 1. p & q & r & ... => z
|
| 2. z
|
| 3. ~[p & q & r & ...]
Here, the proposition letters "p", "q", "r", ..., "z"
are restricted to being single positive features, not
themselves negated or otherwise complex expressions.
In the Cactus Language or Existential Graph syntax
these forms would take on the following appearances:
| 1. ( p q r ... ( z ))
|
| 2. z
|
| 3. ( p q r ... )
The style of deduction in Horn clause logics is essentially
proof-theoretic in character, with the main burden of proof
falling on implication relations ("=>") and on "projective"
forms of inference, that is, information-losing inferences
like modus ponens and resolution. Cf. [Llo], [MaW].
In contrast, the method used here is substantially model-theoretic,
the stress being to start from more general forms of expression for
laying out facts (for example, distinctions, equations, partitions)
and to work toward results that maintain logical equivalence with
their origins.
What all of this has to do with the output above is this:
>From the perspective that is adopted in the present work,
almost any theory, for example, the one that is founded
on the postulates of Molly's World, will have far more
models than the implicational and inferential mode of
reasoning is designed to discover. We will be forced
to confront them, however, if we try to run Model on
a large set of implications.
The typical Horn clause interpreter gets around this
difficulty only by a stratagem that takes clauses to
mean something other than what they say, that is, by
distorting the principles of semantics in practice.
Our Model, on the other hand, has no such finesse.
This explains why it was necessary to impose the
prerequisite "object" constraint on the Log file
for Molly's World. It supplied no more than what
we usually take for granted, in order to obtain
a set of models that we would normally think of
as being the intended import of the definitions.
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
Example. Jets & Sharks
The propositional calculus based on the boundary operator, that is,
the multigrade logical connective of the form "( , , , ... )" can be
interpreted in a way that resembles the logic of activation states and
competition constraints in certain neural network models. One way to do
this is by interpreting the blank or unmarked state as the resting state
of a neural pool, the bound or marked state as its activated state, and
by representing a mutually inhibitory pool of neurons p, q, r by means
of the expression "( p , q , r )". To illustrate this possibility,
I transcribe into cactus language expressions a notorious example
from the "parallel distributed processing" (PDP) paradigm [McR]
and work through two of the associated exercises as portrayed
in this format.
Logical Input File: JAS = ZOT(Jets And Sharks)
o----------------------------------------------------------------o
| |
| (( art ),( al ),( sam ),( clyde ),( mike ), |
| ( jim ),( greg ),( john ),( doug ),( lance ), |
| ( george ),( pete ),( fred ),( gene ),( ralph ), |
| ( phil ),( ike ),( nick ),( don ),( ned ),( karl ), |
| ( ken ),( earl ),( rick ),( ol ),( neal ),( dave )) |
| |
| ( jets , sharks ) |
| |
| ( jets , |
| ( art ),( al ),( sam ),( clyde ),( mike ), |
| ( jim ),( greg ),( john ),( doug ),( lance ), |
| ( george ),( pete ),( fred ),( gene ),( ralph )) |
| |
| ( sharks , |
| ( phil ),( ike ),( nick ),( don ),( ned ),( karl ), |
| ( ken ),( earl ),( rick ),( ol ),( neal ),( dave )) |
| |
| (( 20's ),( 30's ),( 40's )) |
| |
| ( 20's , |
| ( sam ),( jim ),( greg ),( john ),( lance ), |
| ( george ),( pete ),( fred ),( gene ),( ken )) |
| |
| ( 30's , |
| ( al ),( mike ),( doug ),( ralph ), |
| ( phil ),( ike ),( nick ),( don ), |
| ( ned ),( rick ),( ol ),( neal ),( dave )) |
| |
| ( 40's , |
| ( art ),( clyde ),( karl ),( earl )) |
| |
| (( junior_high ),( high_school ),( college )) |
| |
| ( junior_high , |
| ( art ),( al ),( clyde ),( mike ),( jim ), |
| ( john ),( lance ),( george ),( ralph ),( ike )) |
| |
| ( high_school , |
| ( greg ),( doug ),( pete ),( fred ),( nick ), |
| ( karl ),( ken ),( earl ),( rick ),( neal ),( dave )) |
| |
| ( college , |
| ( sam ),( gene ),( phil ),( don ),( ned ),( ol )) |
| |
| (( single ),( married ),( divorced )) |
| |
| ( single , |
| ( art ),( sam ),( clyde ),( mike ), |
| ( doug ),( pete ),( fred ),( gene ), |
| ( ralph ),( ike ),( nick ),( ken ),( neal )) |
| |
| ( married , |
| ( al ),( greg ),( john ),( lance ),( phil ), |
| ( don ),( ned ),( karl ),( earl ),( ol )) |
| |
| ( divorced , |
| ( jim ),( george ),( rick ),( dave )) |
| |
| (( bookie ),( burglar ),( pusher )) |
| |
| ( bookie , |
| ( sam ),( clyde ),( mike ),( doug ), |
| ( pete ),( ike ),( ned ),( karl ),( neal )) |
| |
| ( burglar , |
| ( al ),( jim ),( john ),( lance ), |
| ( george ),( don ),( ken ),( earl ),( rick )) |
| |
| ( pusher , |
| ( art ),( greg ),( fred ),( gene ), |
| ( ralph ),( phil ),( nick ),( ol ),( dave )) |
| |
o----------------------------------------------------------------o
We now apply Study to the proposition that
defines the Jets and Sharks knowledge base,
that is to say, the knowledge that we are
given about the Jets and Sharks, not the
knowledge that the Jets and Sharks have.
With a query on the name "ken" we obtain the following
output, giving all of the features associated with Ken:
Sense Outline: JAS & Ken
o---------------------------------------o
| ken |
| sharks |
| 20's |
| high_school |
| single |
| burglar |
o---------------------------------------o
With a query on the two features "college" and "sharks"
we obtain the following outline of all of the features
that satisfy these constraints:
Sense Outline: JAS & College & Sharks
o---------------------------------------o
| college |
| sharks |
| 30's |
| married |
| bookie |
| ned |
| burglar |
| don |
| pusher |
| phil |
| ol |
o---------------------------------------o
>From this we discover that all college Sharks
are 30-something and married. Furthermore,
we have a complete listing of their names
broken down by occupation, as I have no
doubt that all of them will be in time.
| Reference:
|
| McClelland, James L. & Rumelhart, David E.,
|'Explorations in Parallel Distributed Processing:
| A Handbook of Models, Programs, and Exercises',
| MIT Press, Cambridge, MA, 1988.
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
One of the issues that my pondering weak and weary over
has caused me to burn not a few barrels of midnight oil
over the past elventeen years or so is the relationship
among divers and sundry "styles of inference", by which
I mean particular choices of inference paradigms, rules,
or schemata. The chief breakpoint seems to lie between
information-losing and information-maintaining modes of
inference, also called "implicational" and "equational",
or "projective" and "preservative" brands, respectively.
Since it appears to be mostly the implicational and projective
styles of inference that are more familiar to folks hereabouts,
I will start off this subdiscussion by introducing a number of
risibly simple but reasonably manageable examples of the other
brand of inference, treated as equational reasoning approaches
to problems about satisfying "zeroth order constraints" (ZOC's).
Applications of a Propositional Calculator:
Constraint Satisfaction Problems.
Jon Awbrey, April 24, 1995.
The Four Houses Puzzle
Constructed on the model of the "Five Houses Puzzle" in [VaH, 132-136].
Problem Statement. Four people with different nationalities live in the
first four houses of a street. They practice four distinct professions,
and each of them has a favorite animal, all of them different. The four
houses are painted different colors. The following facts are known:
| 1. The Englander lives in the first house on the left.
| 2. The doctor lives in the second house.
| 3. The third house is painted red.
| 4. The zebra is a favorite in the fourth house.
| 5. The person in the first house has a dog.
| 6. The Japanese lives in the third house.
| 7. The red house is on the left of the yellow one.
| 8. They breed snails in the house to right of the doctor.
| 9. The Englander lives next to the green house.
| 10. The fox is in the house next to to the diplomat.
| 11. The Spaniard likes zebras.
| 12. The Japanese is a painter.
| 13. The Italian lives in the green house.
| 14. The violinist lives in the yellow house.
| 15. The dog is a pet in the blue house.
| 16. The doctor keeps a fox.
The problem is to find all of the assignments of
features to houses that satisfy these requirements.
Logical Input File: House^4.Log
o---------------------------------------------------------------------o
| |
| eng_1 doc_2 red_3 zeb_4 dog_1 jap_3 |
| |
| (( red_1 yel_2 ),( red_2 yel_3 ),( red_3 yel_4 )) |
| (( doc_1 sna_2 ),( doc_2 sna_3 ),( doc_3 sna_4 )) |
| |
| (( eng_1 gre_2 ), |
| ( eng_2 gre_3 ),( eng_2 gre_1 ), |
| ( eng_3 gre_4 ),( eng_3 gre_2 ), |
| ( eng_4 gre_3 )) |
| |
| (( dip_1 fox_2 ), |
| ( dip_2 fox_3 ),( dip_2 fox_1 ), |
| ( dip_3 fox_4 ),( dip_3 fox_2 ), |
| ( dip_4 fox_3 )) |
| |
| (( spa_1 zeb_1 ),( spa_2 zeb_2 ),( spa_3 zeb_3 ),( spa_4 zeb_4 )) |
| (( jap_1 pai_1 ),( jap_2 pai_2 ),( jap_3 pai_3 ),( jap_4 pai_4 )) |
| (( ita_1 gre_1 ),( ita_2 gre_2 ),( ita_3 gre_3 ),( ita_4 gre_4 )) |
| |
| (( yel_1 vio_1 ),( yel_2 vio_2 ),( yel_3 vio_3 ),( yel_4 vio_4 )) |
| (( blu_1 dog_1 ),( blu_2 dog_2 ),( blu_3 dog_3 ),( blu_4 dog_4 )) |
| |
| (( doc_1 fox_1 ),( doc_2 fox_2 ),( doc_3 fox_3 ),( doc_4 fox_4 )) |
| |
| (( |
| |
| (( eng_1 ),( eng_2 ),( eng_3 ),( eng_4 )) |
| (( spa_1 ),( spa_2 ),( spa_3 ),( spa_4 )) |
| (( jap_1 ),( jap_2 ),( jap_3 ),( jap_4 )) |
| (( ita_1 ),( ita_2 ),( ita_3 ),( ita_4 )) |
| |
| (( eng_1 ),( spa_1 ),( jap_1 ),( ita_1 )) |
| (( eng_2 ),( spa_2 ),( jap_2 ),( ita_2 )) |
| (( eng_3 ),( spa_3 ),( jap_3 ),( ita_3 )) |
| (( eng_4 ),( spa_4 ),( jap_4 ),( ita_4 )) |
| |
| (( gre_1 ),( gre_2 ),( gre_3 ),( gre_4 )) |
| (( red_1 ),( red_2 ),( red_3 ),( red_4 )) |
| (( yel_1 ),( yel_2 ),( yel_3 ),( yel_4 )) |
| (( blu_1 ),( blu_2 ),( blu_3 ),( blu_4 )) |
| |
| (( gre_1 ),( red_1 ),( yel_1 ),( blu_1 )) |
| (( gre_2 ),( red_2 ),( yel_2 ),( blu_2 )) |
| (( gre_3 ),( red_3 ),( yel_3 ),( blu_3 )) |
| (( gre_4 ),( red_4 ),( yel_4 ),( blu_4 )) |
| |
| (( pai_1 ),( pai_2 ),( pai_3 ),( pai_4 )) |
| (( dip_1 ),( dip_2 ),( dip_3 ),( dip_4 )) |
| (( vio_1 ),( vio_2 ),( vio_3 ),( vio_4 )) |
| (( doc_1 ),( doc_2 ),( doc_3 ),( doc_4 )) |
| |
| (( pai_1 ),( dip_1 ),( vio_1 ),( doc_1 )) |
| (( pai_2 ),( dip_2 ),( vio_2 ),( doc_2 )) |
| (( pai_3 ),( dip_3 ),( vio_3 ),( doc_3 )) |
| (( pai_4 ),( dip_4 ),( vio_4 ),( doc_4 )) |
| |
| (( dog_1 ),( dog_2 ),( dog_3 ),( dog_4 )) |
| (( zeb_1 ),( zeb_2 ),( zeb_3 ),( zeb_4 )) |
| (( fox_1 ),( fox_2 ),( fox_3 ),( fox_4 )) |
| (( sna_1 ),( sna_2 ),( sna_3 ),( sna_4 )) |
| |
| (( dog_1 ),( zeb_1 ),( fox_1 ),( sna_1 )) |
| (( dog_2 ),( zeb_2 ),( fox_2 ),( sna_2 )) |
| (( dog_3 ),( zeb_3 ),( fox_3 ),( sna_3 )) |
| (( dog_4 ),( zeb_4 ),( fox_4 ),( sna_4 )) |
| |
| )) |
| |
o---------------------------------------------------------------------o
Sense Outline: House^4.Sen
o-----------------------------o
| eng_1 |
| doc_2 |
| red_3 |
| zeb_4 |
| dog_1 |
| jap_3 |
| yel_4 |
| sna_3 |
| gre_2 |
| dip_1 |
| fox_2 |
| spa_4 |
| pai_3 |
| ita_2 |
| vio_4 |
| blu_1 |
o-----------------------------o
Table 1. Solution to the Four Houses Puzzle
o------------o------------o------------o------------o------------o
| | House 1 | House 2 | House 3 | House 4 |
o------------o------------o------------o------------o------------o
| Nation | England | Italy | Japan | Spain |
| Color | blue | green | red | yellow |
| Profession | diplomat | doctor | painter | violinist |
| Animal | dog | fox | snails | zebra |
o------------o------------o------------o------------o------------o
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
First off, I do not trivialize the "real issues of ontology", indeed,
it is precisely my estimate of the non-trivial difficulty of this task,
of formulating the types of "generic ontology" that we propose to do here,
that forces me to choose and to point out the inescapability of the approach
that I am currently taking, which is to enter on the necessary preliminary of
building up the logical tools that we need to tackle the ontology task proper.
And I would say, to the contrary, that it is those who think we can arrive at
a working general ontology by sitting on the porch shooting the breeze about
"what it is" until the cows come home -- that is, the method for which it
has become cliche to indict the Ancient Greeks, though, if truth be told,
we'd have to look to the pre-socratics and the pre-stoics to find a good
match for the kinds of revelation that are common hereabouts -- I would
say that it's those folks who trivialize the "real issues of ontology".
A person, living in our times, who is serious about knowing the being of things,
really only has one choice -- to pick what tiny domain of things he or she just
has to know about the most, thence to hie away to the adept gurus of the matter
in question, forgeting the rest, cause "general ontology" is a no-go these days.
It is presently in a state like astronomy before telescopes, and that means not
entirely able to discern itself from astrology and other psychically projective
exercises of wishful and dreadful thinking like that.
So I am busy grinding lenses ...
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
DM = Douglas McDavid
DM: Thanks for both the original and additional response. I'm not trying to
single you out, as I have been picking on various postings in a similar
manner ever since I started contributing to this discussion. I agree with
you that the task of this working group is non-trivially difficult. In fact,
I believe we are still a long way from a clear and useful agreement about what
constitutes "upper" ontology, and what it would mean to standardize it. However,
I don't agree that the only place to make progress is in tiny domains of things.
I've contributed the thought that a fundamental, upper-level concept is the
concept of system, and that that would be a good place to begin. And I'll
never be able to refrain from evaluating the content as well as the form
of any examples presented for consideration here. Probably should
accompany these comments with a ;-)
There will never be a standard universal ontology
of the absolute essential impertubable monolithic
variety that some people still dream of in their
fantasies of spectating on and speculating about
a pre-relativistically non-participatory universe
from their singular but isolated gods'eye'views.
The bells tolled for that one many years ago,
but some of the more blithe of the blissful
islanders have just not gotten the news yet.
But there is still a lot to do that would be useful
under the banner of a "standard upper ontology",
if only we stay loose in our interpretation
of what that implies in practical terms.
One likely approach to the problem would be to take
a hint from the afore-allusioned history of physics --
to inquire for whom, else, the bell tolls -- and to
see if there are any bits of wisdom from that prior
round of collective experience that can be adapted
by dint of analogy to our present predicament.
I happen to think that there are.
And there the answer was, not to try and force a return,
though lord knows they all gave it their very best shot,
to an absolute and imperturbable framework of existence,
but to see the reciprocal participant relation that all
partakers have to the constitution of that framing, yes,
even unto those who would abdictators and abstainees be.
But what does that imply about some shred of a standard?
It means that we are better off seeking, not a standard,
one-size-fits-all ontology, but more standard resources
for trying to interrelate diverse points of view and to
transform the data that's gathered from one perspective
in ways that it can most appropriately be compared with
the data that is gathered from other standpoints on the
splendorous observational scenes and theorematic stages.
That is what I am working on.
And it hasn't been merely
for a couple of years.
As to this bit:
o-------------------------------------------------o
| |
| ( living_thing , non_living ) |
| |
| (( animal ),( vegetable ),( mineral )) |
| |
| ( living_thing ,( animal ),( vegetable )) |
| |
| ( mineral ( non_living )) |
| |
o-------------------------------------------------o
My 5-dimensional Example, that I borrowed from some indifferent source
of what is commonly recognized as "common sense" -- and I think rather
obviously designed more for the classification of pre-modern species
of whole critters and pure matters of natural substance than the
motley mixture of un/natural and in/organic conglouterites that
we find served up on the menu of modernity -- was not intended
even so much as a toy ontology, but simply as an expository
example, concocted for the sake of illustrating the sorts
of logical interaction that occur among four different
patterns of logical constraint, all of which types
arise all the time no matter what the domain, and
which I believe that my novel forms of expression,
syntactically speaking, express quite succinctly,
especially when you contemplate the complexities
of the computation that may flow and must follow
from even these meagre propositional expressions.
Yes, systems -- but -- even here usage differs in significant ways.
I have spent ten years now trying to integrate my earlier efforts
under an explicit systems banner, but even within the bounds of
a systems engineering programme at one site there is a wide
semantic dispersion that issues from this word "system".
I am committed, and in writing, to taking what we so
glibly and prospectively call "intelligent systems"
seriously as dynamical systems. That has many
consequences, and I have to pick and choose
which of those I may be suited to follow.
But that is too long a story for now ...
";-)"?
Somehow that has always looked like
the Chesshire Cat's grin to me ...
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
By way of catering to popular demand, I have decided to
render this symposium a bit more à la carte, and thus to
serve up as faster food than heretofore a choice selection
of the more sumptuous bits that I have in my logical larder,
not yet full fare, by any means, but a sample of what might
one day approach to being an abundantly moveable feast of
ontological contents and general metaphysical delights.
I'll leave it to you to name your poison, as it were.
Applications of a Propositional Calculator:
Constraint Satisfaction Problems.
Jon Awbrey, April 24, 1995.
Fabric Knowledge Base
Based on the example in [MaW, pages 8-16].
Logical Input File: Fab.Log
o---------------------------------------------------------------------o
| |
| (has_floats , plain_weave ) |
| (has_floats ,(twill_weave ),(satin_weave )) |
| |
| (plain_weave , |
| (plain_weave one_color ), |
| (color_groups ), |
| (grouped_warps ), |
| (some_thicker ), |
| (crossed_warps ), |
| (loop_threads ), |
| (plain_weave flannel )) |
| |
| (plain_weave one_color cotton balanced smooth ,(percale )) |
| (plain_weave one_color cotton sheer ,(organdy )) |
| (plain_weave one_color silk sheer ,(organza )) |
| |
| (plain_weave color_groups warp_stripe fill_stripe ,(plaid )) |
| (plaid equal_stripe ,(gingham )) |
| |
| (plain_weave grouped_warps ,(basket_weave )) |
| |
| (basket_weave typed , |
| (type_2_to_1 ), |
| (type_2_to_2 ), |
| (type_4_to_4 )) |
| |
| (basket_weave typed type_2_to_1 thicker_fill ,(oxford )) |
| (basket_weave typed (type_2_to_2 , |
| type_4_to_4 ) same_thickness ,(monks_cloth )) |
| (basket_weave (typed ) rough open ,(hopsacking )) |
| |
| (typed (basket_weave )) |
| |
| (basket_weave ,(oxford ),(monks_cloth ),(hopsacking )) |
| |
| (plain_weave some_thicker ,(ribbed_weave )) |
| |
| (ribbed_weave ,(small_rib ),(medium_rib ),(heavy_rib )) |
| (ribbed_weave ,(flat_rib ),(round_rib )) |
| |
| (ribbed_weave thicker_fill ,(cross_ribbed )) |
| (cross_ribbed small_rib flat_rib ,(faille )) |
| (cross_ribbed small_rib round_rib ,(grosgrain )) |
| (cross_ribbed medium_rib round_rib ,(bengaline )) |
| (cross_ribbed heavy_rib round_rib ,(ottoman )) |
| |
| (cross_ribbed ,(faille ),(grosgrain ),(bengaline ),(ottoman )) |
| |
| (plain_weave crossed_warps ,(leno_weave )) |
| (leno_weave open ,(marquisette )) |
| (plain_weave loop_threads ,(pile_weave )) |
| |
| (pile_weave ,(fill_pile ),(warp_pile )) |
| (pile_weave ,(cut ),(uncut )) |
| |
| (pile_weave warp_pile cut ,(velvet )) |
| (pile_weave fill_pile cut aligned_pile ,(corduroy )) |
| (pile_weave fill_pile cut staggered_pile ,(velveteen )) |
| (pile_weave fill_pile uncut reversible ,(terry )) |
| |
| (pile_weave fill_pile cut ( (aligned_pile , staggered_pile ) )) |
| |
| (pile_weave ,(velvet ),(corduroy ),(velveteen ),(terry )) |
| |
| (plain_weave , |
| (percale ),(organdy ),(organza ),(plaid ), |
| (oxford ),(monks_cloth ),(hopsacking ), |
| (faille ),(grosgrain ),(bengaline ),(ottoman ), |
| (leno_weave ),(pile_weave ),(plain_weave flannel )) |
| |
| (twill_weave , |
| (warp_faced ), |
| (filling_faced ), |
| (even_twill ), |
| (twill_weave flannel )) |
| |
| (twill_weave warp_faced colored_warp white_fill ,(denim )) |
| (twill_weave warp_faced one_color ,(drill )) |
| (twill_weave even_twill diagonal_rib ,(serge )) |
| |
| (twill_weave warp_faced ( |
| (one_color , |
| ((colored_warp )(white_fill )) ) |
| )) |
| |
| (twill_weave warp_faced ,(denim ),(drill )) |
| (twill_weave even_twill ,(serge )) |
| |
| (( |
| ( ((plain_weave )(twill_weave )) |
| ((cotton )(wool )) napped ,(flannel )) |
| )) |
| |
| (satin_weave ,(warp_floats ),(fill_floats )) |
| |
| (satin_weave ,(satin_weave smooth ),(satin_weave napped )) |
| (satin_weave ,(satin_weave cotton ),(satin_weave silk )) |
| |
| (satin_weave warp_floats smooth ,(satin )) |
| (satin_weave fill_floats smooth ,(sateen )) |
| (satin_weave napped cotton ,(moleskin )) |
| |
| (satin_weave ,(satin ),(sateen ),(moleskin )) |
| |
o---------------------------------------------------------------------o
| Reference [MaW]
|
| Maier, David & Warren, David S.,
|'Computing with Logic: Logic Programming with Prolog',
| Benjamin/Cummings, Menlo Park, CA, 1988.
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
I think that it might be a good idea to go back to a simpler example
of a constraint satisfaction problem, and to discuss the elements of
its expression as a ZOT in a less cluttered setting before advancing
onward once again to problems on the order of the Four Houses Puzzle.
| Applications of a Propositional Calculator:
| Constraint Satisfaction Problems.
| Jon Awbrey, April 24, 1995.
Graph Coloring
Based on the discussion in [Wil, page 196].
One is given three colors, say, orange, silver, indigo,
and a graph on four nodes that has the following shape:
| 1
| o
| / \
| / \
| 4 o-----o 2
| \ /
| \ /
| o
| 3
The problem is to color the nodes of the graph
in such a way that no pair of nodes that are
adjacent in the graph, that is, linked by
an edge, get the same color.
The objective situation that is to be achieved can be represented
in a so-called "declarative" fashion, in effect, by employing the
cactus language as a very simple sort of declarative programming
language, and depicting the prospective solution to the problem
as a ZOT.
To do this, begin by declaring the following set of
twelve boolean variables or "zeroth order features":
{1_orange, 1_silver, 1_indigo,
2_orange, 2_silver, 2_indigo,
3_orange, 3_silver, 3_indigo,
4_orange, 4_silver, 4_indigo}
The interpretation to keep in mind will be such that
the feature name of the form "<node i>_<color j>"
says that the node i is assigned the color j.
Logical Input File: Color.Log
o----------------------------------------------------------------------o
| |
| (( 1_orange ),( 1_silver ),( 1_indigo )) |
| (( 2_orange ),( 2_silver ),( 2_indigo )) |
| (( 3_orange ),( 3_silver ),( 3_indigo )) |
| (( 4_orange ),( 4_silver ),( 4_indigo )) |
| |
| ( 1_orange 2_orange )( 1_silver 2_silver )( 1_indigo 2_indigo ) |
| ( 1_orange 4_orange )( 1_silver 4_silver )( 1_indigo 4_indigo ) |
| ( 2_orange 3_orange )( 2_silver 3_silver )( 2_indigo 3_indigo ) |
| ( 2_orange 4_orange )( 2_silver 4_silver )( 2_indigo 4_indigo ) |
| ( 3_orange 4_orange )( 3_silver 4_silver )( 3_indigo 4_indigo ) |
| |
o----------------------------------------------------------------------o
The first stanza of verses declares that
every node is assigned exactly one color.
The second stanza of verses declares that
no adjacent nodes get the very same color.
Each satisfying interpretation of this ZOT
that is also a program corresponds to what
graffitists call a "coloring" of the graph.
Theme One's Model interpreter, when we set
it to work on this ZOT, will array before
our eyes all of the colorings of the graph.
Sense Outline: Color.Sen
o-----------------------------o
| 1_orange |
| 2_silver |
| 3_orange |
| 4_indigo |
| 2_indigo |
| 3_orange |
| 4_silver |
| 1_silver |
| 2_orange |
| 3_silver |
| 4_indigo |
| 2_indigo |
| 3_silver |
| 4_orange |
| 1_indigo |
| 2_orange |
| 3_indigo |
| 4_silver |
| 2_silver |
| 3_indigo |
| 4_orange |
o-----------------------------o
| Reference [Wil]
|
| Wilf, Herbert S.,
|'Algorithms and Complexity',
| Prentice-Hall, Englewood Cliffs, NJ, 1986.
|
| Nota Bene. There is a wrong Figure in some
| printings of the book, that does not match
| the description of the Example that is
| given in the text.
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
Let us continue to examine the properties of the cactus language
as a minimal style of declarative programming language. Even in
the likes of this zeroth order microcosm one can observe, and on
a good day still more clearly for the lack of other distractions,
many of the buzz worlds that will spring into full bloom, almost
as if from nowhere, to become the first order of business in the
latter day logical organa, plus combinators, plus lambda calculi.
By way of homage to the classics of the art, I can hardly pass
this way without paying my dues to the next sample of examples.
N Queens Problem
I will give the ZOT that describes the N Queens Problem for N = 5,
since that is the most that I and my old 286 could do when last I
wrote up this Example.
The problem is now to write a "zeroth order program" (ZOP) that
describes the following objective: To place 5 chess queens on
a 5 by 5 chessboard so that no queen attacks any other queen.
It is clear that there can be at most one queen on each row
of the board and so by dint of regal necessity, exactly one
queen in each row of the desired array. This gambit allows
us to reduce the problem to one of picking a permutation of
five things in fives places, and this affords us sufficient
clue to begin down a likely path toward the intended object,
by recruiting the following phalanx of 25 logical variables:
Literal Input File: Q5.Lit
o---------------------------------------o
| |
| q1_r1, q1_r2, q1_r3, q1_r4, q1_r5, |
| q2_r1, q2_r2, q2_r3, q2_r4, q2_r5, |
| q3_r1, q3_r2, q3_r3, q3_r4, q3_r5, |
| q4_r1, q4_r2, q4_r3, q4_r4, q4_r5, |
| q5_r1, q5_r2, q5_r3, q5_r4, q5_r5. |
| |
o---------------------------------------o
Thus we seek to define a function, of abstract type f : %B%^25 -> %B%,
whose fibre of truth f^(-1)(%1%) is a set of interpretations, each of
whose elements bears the abstract type of a point in the space %B%^25,
and whose reading will inform us of our desired set of configurations.
Logical Input File: Q5.Log
o------------------------------------------------------------o
| |
| ((q1_r1 ),(q1_r2 ),(q1_r3 ),(q1_r4 ),(q1_r5 )) |
| ((q2_r1 ),(q2_r2 ),(q2_r3 ),(q2_r4 ),(q2_r5 )) |
| ((q3_r1 ),(q3_r2 ),(q3_r3 ),(q3_r4 ),(q3_r5 )) |
| ((q4_r1 ),(q4_r2 ),(q4_r3 ),(q4_r4 ),(q4_r5 )) |
| ((q5_r1 ),(q5_r2 ),(q5_r3 ),(q5_r4 ),(q5_r5 )) |
| |
| ((q1_r1 ),(q2_r1 ),(q3_r1 ),(q4_r1 ),(q5_r1 )) |
| ((q1_r2 ),(q2_r2 ),(q3_r2 ),(q4_r2 ),(q5_r2 )) |
| ((q1_r3 ),(q2_r3 ),(q3_r3 ),(q4_r3 ),(q5_r3 )) |
| ((q1_r4 ),(q2_r4 ),(q3_r4 ),(q4_r4 ),(q5_r4 )) |
| ((q1_r5 ),(q2_r5 ),(q3_r5 ),(q4_r5 ),(q5_r5 )) |
| |
| (( |
| |
| (q1_r1 q2_r2 )(q1_r1 q3_r3 )(q1_r1 q4_r4 )(q1_r1 q5_r5 ) |
| (q2_r2 q3_r3 )(q2_r2 q4_r4 )(q2_r2 q5_r5 ) |
| (q3_r3 q4_r4 )(q3_r3 q5_r5 ) |
| (q4_r4 q5_r5 ) |
| |
| (q1_r2 q2_r3 )(q1_r2 q3_r4 )(q1_r2 q4_r5 ) |
| (q2_r3 q3_r4 )(q2_r3 q4_r5 ) |
| (q3_r4 q4_r5 ) |
| |
| (q1_r3 q2_r4 )(q1_r3 q3_r5 ) |
| (q2_r4 q3_r5 ) |
| |
| (q1_r4 q2_r5 ) |
| |
| (q2_r1 q3_r2 )(q2_r1 q4_r3 )(q2_r1 q5_r4 ) |
| (q3_r2 q4_r3 )(q3_r2 q5_r4 ) |
| (q4_r3 q5_r4 ) |
| |
| (q3_r1 q4_r2 )(q3_r1 q5_r3 ) |
| (q4_r2 q5_r3 ) |
| |
| (q4_r1 q5_r2 ) |
| |
| (q1_r5 q2_r4 )(q1_r5 q3_r3 )(q1_r5 q4_r2 )(q1_r5 q5_r1 ) |
| (q2_r4 q3_r3 )(q2_r4 q4_r2 )(q2_r4 q5_r1 ) |
| (q3_r3 q4_r2 )(q3_r3 q5_r1 ) |
| (q4_r2 q5_r1 ) |
| |
| (q2_r5 q3_r4 )(q2_r5 q4_r3 )(q2_r5 q5_r2 ) |
| (q3_r4 q4_r3 )(q3_r4 q5_r2 ) |
| (q4_r3 q5_r2 ) |
| |
| (q3_r5 q4_r4 )(q3_r5 q5_r3 ) |
| (q4_r4 q5_r3 ) |
| |
| (q4_r5 q5_r4 ) |
| |
| (q1_r4 q2_r3 )(q1_r4 q3_r2 )(q1_r4 q4_r1 ) |
| (q2_r3 q3_r2 )(q2_r3 q4_r1 ) |
| (q3_r2 q4_r1 ) |
| |
| (q1_r3 q2_r2 )(q1_r3 q3_r1 ) |
| (q2_r2 q3_r1 ) |
| |
| (q1_r2 q2_r1 ) |
| |
| )) |
| |
o------------------------------------------------------------o
The vanguard of this logical regiment consists of two
stock'a'block platoons, the pattern of whose features
is the usual sort of array for conveying permutations.
Between the stations of their respective offices they
serve to warrant that all of the interpretations that
are left standing on the field of valor at the end of
the day will be ones that tell of permutations 5 by 5.
The rest of the ruck and the runt of the mill in this
regimental logos are there to cover the diagonal bias
against attacking queens that is our protocol to suit.
And here is the issue of the day:
Sense Output: Q5.Sen
o-------------------o
| q1_r1 |
| q2_r3 |
| q3_r5 |
| q4_r2 |
| q5_r4 | <1>
| q2_r4 |
| q3_r2 |
| q4_r5 |
| q5_r3 | <2>
| q1_r2 |
| q2_r4 |
| q3_r1 |
| q4_r3 |
| q5_r5 | <3>
| q2_r5 |
| q3_r3 |
| q4_r1 |
| q5_r4 | <4>
| q1_r3 |
| q2_r1 |
| q3_r4 |
| q4_r2 |
| q5_r5 | <5>
| q2_r5 |
| q3_r2 |
| q4_r4 |
| q5_r1 | <6>
| q1_r4 |
| q2_r1 |
| q3_r3 |
| q4_r5 |
| q5_r2 | <7>
| q2_r2 |
| q3_r5 |
| q4_r3 |
| q5_r1 | <8>
| q1_r5 |
| q2_r2 |
| q3_r4 |
| q4_r1 |
| q5_r3 | <9>
| q2_r3 |
| q3_r1 |
| q4_r4 |
| q5_r2 | <A>
o-------------------o
The number at least checks with all of the best authorities,
so I can breathe a sigh of relief on that account, at least.
I am sure that there just has to be a more clever way to do
this, that is to say, within the bounds of ZOT reason alone,
but the above is the best that I could figure out with the
time that I had at the time.
References: [BaC, 166], [VaH, 122], [Wir, 143].
[BaC] Ball, W.W. Rouse, & Coxeter, H.S.M.,
'Mathematical Recreations and Essays',
13th ed., Dover, New York, NY, 1987.
[VaH] Van Hentenryck, Pascal,
'Constraint Satisfaction in Logic Programming,
MIT Press, Cambridge, MA, 1989.
[Wir] Wirth, Niklaus,
'Algorithms + Data Structures = Programs',
Prentice-Hall, Englewood Cliffs, NJ, 1976.
http://mathworld.wolfram.com/QueensProblem.html
http://www.research.att.com/cgi-bin/access.cgi/as/njas/sequences/eisA.cgi?Anum=000170
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
I turn now to another golden oldie of a constraint satisfaction problem
that I would like to give here a slightly new spin, but not so much for
the sake of these trifling novelties as from a sense of old time's ache
and a duty to -- well, what's the opposite of novelty?
Phobic Apollo
| Suppose Peter, Paul, and Jane are musicians. One of them plays
| saxophone, another plays guitar, and the third plays drums. As
| it happens, one of them is afraid of things associated with the
| number 13, another of them is afraid of cats, and the third is
| afraid of heights. You also know that Peter and the guitarist
| skydive, that Paul and the saxophone player enjoy cats, and
| that the drummer lives in apartment 13 on the 13th floor.
|
| Soon we will want to use these facts to reason
| about whether or not certain identity relations
| hold or are excluded. Assume X(Peter, Guitarist)
| means "the person who is Peter is not the person who
| plays the guitar". In this notation, the facts become:
|
| 1. X(Peter, Guitarist)
| 2. X(Peter, Fears Heights)
| 3. X(Guitarist, Fears Heights)
| 4. X(Paul, Fears Cats)
| 5. X(Paul, Saxophonist)
| 6. X(Saxophonist, Fears Cats)
| 7. X(Drummer, Fears 13)
| 8. X(Drummer, Fears Heights)
|
| Exercise attributed to Kenneth D. Forbus, pages 449-450 in:
| Patrick Henry Winston, 'Artificial Intelligence', 2nd ed.,
| Addison-Wesley, Reading, MA, 1984.
Here is one way to represent these facts in the form of a ZOT
and use it as a logical program to draw a succinct conclusion:
Logical Input File: ConSat.Log
o-----------------------------------------------------------------------o
| |
| (( pete_plays_guitar ),( pete_plays_sax ),( pete_plays_drums )) |
| (( paul_plays_guitar ),( paul_plays_sax ),( paul_plays_drums )) |
| (( jane_plays_guitar ),( jane_plays_sax ),( jane_plays_drums )) |
| |
| (( pete_plays_guitar ),( paul_plays_guitar ),( jane_plays_guitar )) |
| (( pete_plays_sax ),( paul_plays_sax ),( jane_plays_sax )) |
| (( pete_plays_drums ),( paul_plays_drums ),( jane_plays_drums )) |
| |
| (( pete_fears_13 ),( pete_fears_cats ),( pete_fears_height )) |
| (( paul_fears_13 ),( paul_fears_cats ),( paul_fears_height )) |
| (( jane_fears_13 ),( jane_fears_cats ),( jane_fears_height )) |
| |
| (( pete_fears_13 ),( paul_fears_13 ),( jane_fears_13 )) |
| (( pete_fears_cats ),( paul_fears_cats ),( jane_fears_cats )) |
| (( pete_fears_height ),( paul_fears_height ),( jane_fears_height )) |
| |
| (( |
| |
| ( pete_plays_guitar ) |
| ( pete_fears_height ) |
| |
| ( pete_plays_guitar pete_fears_height ) |
| ( paul_plays_guitar paul_fears_height ) |
| ( jane_plays_guitar jane_fears_height ) |
| |
| ( paul_fears_cats ) |
| ( paul_plays_sax ) |
| |
| ( pete_plays_sax pete_fears_cats ) |
| ( paul_plays_sax paul_fears_cats ) |
| ( jane_plays_sax jane_fears_cats ) |
| |
| ( pete_plays_drums pete_fears_13 ) |
| ( paul_plays_drums paul_fears_13 ) |
| ( jane_plays_drums jane_fears_13 ) |
| |
| ( pete_plays_drums pete_fears_height ) |
| ( paul_plays_drums paul_fears_height ) |
| ( jane_plays_drums jane_fears_height ) |
| |
| )) |
| |
o-----------------------------------------------------------------------o
Sense Outline: ConSat.Sen
o-----------------------------o
| pete_plays_drums |
| paul_plays_guitar |
| jane_plays_sax |
| pete_fears_cats |
| paul_fears_13 |
| jane_fears_height |
o-----------------------------o
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
Phobic Apollo (cont.)
It might be instructive to review various aspects
of how the Theme One Study function actually went
about arriving at its answer to that last problem.
Just to prove that my program and I really did do
our homework on that Phobic Apollo ConSat problem,
and didn't just provoke some Oracle or other data
base server to give it away, here is the middling
output of the Model function as run on ConSat.Log:
Model Outline: ConSat.Mod
o-------------------------------------------------o
| pete_plays_guitar - |
| (pete_plays_guitar ) |
| pete_plays_sax |
| pete_plays_drums - |
| (pete_plays_drums ) |
| paul_plays_sax - |
| (paul_plays_sax ) |
| jane_plays_sax - |
| (jane_plays_sax ) |
| paul_plays_guitar |
| paul_plays_drums - |
| (paul_plays_drums ) |
| jane_plays_guitar - |
| (jane_plays_guitar ) |
| jane_plays_drums |
| pete_fears_13 |
| pete_fears_cats - |
| (pete_fears_cats ) |
| pete_fears_height - |
| (pete_fears_height ) |
| paul_fears_13 - |
| (paul_fears_13 ) |
| jane_fears_13 - |
| (jane_fears_13 ) |
| paul_fears_cats - |
| (paul_fears_cats ) |
| paul_fears_height - |
| (paul_fears_height ) - |
| (pete_fears_13 ) |
| pete_fears_cats - |
| (pete_fears_cats ) |
| pete_fears_height - |
| (pete_fears_height ) - |
| (jane_plays_drums ) - |
| (paul_plays_guitar ) |
| paul_plays_drums |
| jane_plays_drums - |
| (jane_plays_drums ) |
| jane_plays_guitar |
| pete_fears_13 |
| pete_fears_cats - |
| (pete_fears_cats ) |
| pete_fears_height - |
| (pete_fears_height ) |
| paul_fears_13 - |
| (paul_fears_13 ) |
| jane_fears_13 - |
| (jane_fears_13 ) |
| paul_fears_cats - |
| (paul_fears_cats ) |
| paul_fears_height - |
| (paul_fears_height ) - |
| (pete_fears_13 ) |
| pete_fears_cats - |
| (pete_fears_cats ) |
| pete_fears_height - |
| (pete_fears_height ) - |
| (jane_plays_guitar ) - |
| (paul_plays_drums ) - |
| (pete_plays_sax ) |
| pete_plays_drums |
| paul_plays_drums - |
| (paul_plays_drums ) |
| jane_plays_drums - |
| (jane_plays_drums ) |
| paul_plays_guitar |
| paul_plays_sax - |
| (paul_plays_sax ) |
| jane_plays_guitar - |
| (jane_plays_guitar ) |
| jane_plays_sax |
| pete_fears_13 - |
| (pete_fears_13 ) |
| pete_fears_cats |
| pete_fears_height - |
| (pete_fears_height ) |
| paul_fears_cats - |
| (paul_fears_cats ) |
| jane_fears_cats - |
| (jane_fears_cats ) |
| paul_fears_13 |
| paul_fears_height - |
| (paul_fears_height ) |
| jane_fears_13 - |
| (jane_fears_13 ) |
| jane_fears_height * |
| (jane_fears_height ) - |
| (paul_fears_13 ) |
| paul_fears_height - |
| (paul_fears_height ) - |
| (pete_fears_cats ) |
| pete_fears_height - |
| (pete_fears_height ) - |
| (jane_plays_sax ) - |
| (paul_plays_guitar ) |
| paul_plays_sax - |
| (paul_plays_sax ) - |
| (pete_plays_drums ) - |
o-------------------------------------------------o
This is just the traverse of the "arboreal boolean expansion" (ABE) tree
that Model function germinates from the propositional expression that we
planted in the file Consat.Log, which works to describe the facts of the
situation in question. Since there are 18 logical feature names in this
propositional expression, we are literally talking about a function that
enjoys the abstract type f : %B%^18 -> %B%. If I had wanted to evaluate
this function by expressly writing out its truth table, then it would've
required 2^18 = 262144 rows. Now I didn't bother to count, but I'm sure
that the above output does not have anywhere near that many lines, so it
must be that my program, and maybe even its author, has done a couple of
things along the way that are moderately intelligent. At least, we hope.
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
AK = Antti Karttunen
JA = Jon Awbrey
AK: Am I (and other SeqFanaticians) missing something from this thread?
AK: Your previous message on seqfan (headers below) is a bit of the same topic,
but does it belong to the same thread? Where I could obtain the other
messages belonging to those two threads? (I'm just now starting to
study "mathematical logic", and its relations to combinatorics are
very interesting.) Is this "cactus" language documented anywhere?
here i was just following a courtesy of copying people
when i reference their works, in this case neil's site:
http://www.research.att.com/cgi-bin/access.cgi/as/njas/sequences/eisA.cgi?Anum=000170
but then i thought that the seqfantasians might be amused, too.
the bit on higher order propositions, in particular,
those of type h : (B^2 -> B) -> B, i sent because
of the significance that 2^2^2^2 = 65536 took on
for us around that time. & the ho, ho, ho joke.
"zeroth order logic" (zol) is just another name for
the propositional calculus or the sentential logic
that comes before "first order logic" (fol), aka
first intens/tional logic, quantificational logic,
or predicate calculus, depending on who you talk to.
the line of work that i have been doing derives from
the ideas of c.s. peirce (1839-1914), who developed
a couple of systems of "logical graphs", actually,
two variant interpretations of the same abstract
structures, called "entitative" and "existential"
graphs. he organized his system into "alpha",
"beta", and "gamma" layers, roughly equivalent
to our propositional, quantificational, and
modal levels of logic today.
on the more contemporary scene, peirce's entitative interpretation
of logical graphs was revived and extended by george spencer brown
in his book 'laws of form', while the existential interpretation
has flourished in the development of "conceptual graphs" by
john f sowa and a community of growing multitudes.
a passel of links:
http://members.door.net/arisbe/
http://www.enolagaia.com/GSB.html
http://www.cs.uah.edu/~delugach/CG/
http://www.jfsowa.com/
http://www.jfsowa.com/cg/
http://www.jfsowa.com/peirce/ms514w.htm
http://users.bestweb.net/~sowa/
http://users.bestweb.net/~sowa/peirce/ms514.htm
i have mostly focused on "alpha" (prop calc or zol) --
though the "func conception of quant logic" thread was
a beginning try at saying how the same line of thought
might be extended to 1st, 2nd, & higher order logics --
and i devised a particular graph & string syntax that
is based on a species of cacti, officially described as
the "reflective extension of logical graphs" (ref log),
but more lately just referred to as "cactus language".
it turns out that one can do many interesting things
with prop calc if one has an efficient enough syntax
and a powerful enough interpreter for it, even using
it as a very minimal sort of declarative programming
language, hence, the current thread was directed to
applying "zeroth order theories" (zot's) as brands
of "zeroth order programs" (zop's) to a set of old
constraint satisfaction and knowledge rep examples.
more recent expositions of the cactus language have been directed
toward what some people call "ontology engineering" -- it sounds
so much cooler than "taxonomy" -- and so these are found in the
ieee standard upper ontology working group discussion archives.
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
Let's now pause and reflect on the mix of abstract and concrete material
that we have cobbled together in spectacle of this "World Of Zero" (WOZ),
since I believe that we may have seen enough, if we look at it right, to
illustrate a few of the more salient phenomena that would normally begin
to weigh in as a major force only on a much larger scale. Now, it's not
exactly like this impoverished sample, all by itself, could determine us
to draw just the right generalizations, or force us to see the shape and
flow of its immanent law -- it is much too sparse a scattering of points
to tease out the lines of its up and coming generations quite so clearly --
but it can be seen to exemplify many of the more significant themes that
we know evolve in more substantial environments, that is, On Beyond Zero,
since we have already seen them, "tho' obscur'd", in these higher realms.
One the the themes that I want to to keep an eye on as this discussion
develops is the subject that might be called "computation as semiosis".
In this light, any calculus worth its salt must be capable of helping
us do two things, calculation, of course, but also analysis. This is
probably one of the reasons why the ordinary sort of differential and
integral calculus over quantitative domains is frequently referred to
as "real analysis", or even just "analysis". It seems quite clear to
me that any adequate logical calculus, in many ways expected to serve
as a qualitative analogue of analytic geometry in the way that it can
be used to describe configurations in logically circumscribed domains,
ought to qualify in both dimensions, namely, analysis and computation.
With all of these various features of the situation in mind, then, we come
to the point of viewing analysis and computation as just so many different
kinds of "sign transformations in respect of pragmata" (STIROP's). Taking
this insight to heart, let us next work to assemble a comprehension of our
concrete examples, set in the medium of the abstract calculi that allow us
to express their qualitative patterns, that may hope to be an increment or
two less inchoate than we have seen so far, and that may even permit us to
catch the action of these fading fleeting sign transformations on the wing.
Here is how I picture our latest round of examples
as filling out the framework of this investigation:
o-----------------------------o-----------------------------o
| Objective Framework | Interpretive Framework |
o-----------------------------o-----------------------------o
| |
| s_1 = Logue(o) | |
| / | |
| / | |
| @ | |
| · \ | |
| · \ | |
| · i_1 = Model(o) v |
| · s_2 = Model(o) | |
| · / | |
| · / | |
| Object = o · · · · · · @ | |
| · \ | |
| · \ | |
| · i_2 = Tenor(o) v |
| · s_3 = Tenor(o) | |
| · / | |
| · / | |
| @ | |
| \ | |
| \ | |
| i_3 = Sense(o) v |
| |
o-----------------------------------------------------------o
Figure. Computation As Semiotic Transformation
The Figure shows three distinct sign triples of the form <o, s, i>, where
o = ostensible objective = the observed, indicated, or intended situation.
| A. <o, Logue(o), Model(o)>
|
| B. <o, Model(o), Tenor(o)>
|
| C. <o, Tenor(o), Sense(o)>
Let us bring these several signs together in one place,
to compare and contrast their common and their diverse
characters, and to think about why we make such a fuss
about passing from one to the other in the first place.
1. Logue(o) = Consat.Log
o-----------------------------------------------------------------------o
| |
| (( pete_plays_guitar ),( pete_plays_sax ),( pete_plays_drums )) |
| (( paul_plays_guitar ),( paul_plays_sax ),( paul_plays_drums )) |
| (( jane_plays_guitar ),( jane_plays_sax ),( jane_plays_drums )) |
| |
| (( pete_plays_guitar ),( paul_plays_guitar ),( jane_plays_guitar )) |
| (( pete_plays_sax ),( paul_plays_sax ),( jane_plays_sax )) |
| (( pete_plays_drums ),( paul_plays_drums ),( jane_plays_drums )) |
| |
| (( pete_fears_13 ),( pete_fears_cats ),( pete_fears_height )) |
| (( paul_fears_13 ),( paul_fears_cats ),( paul_fears_height )) |
| (( jane_fears_13 ),( jane_fears_cats ),( jane_fears_height )) |
| |
| (( pete_fears_13 ),( paul_fears_13 ),( jane_fears_13 )) |
| (( pete_fears_cats ),( paul_fears_cats ),( jane_fears_cats )) |
| (( pete_fears_height ),( paul_fears_height ),( jane_fears_height )) |
| |
| (( |
| |
| ( pete_plays_guitar ) |
| ( pete_fears_height ) |
| |
| ( pete_plays_guitar pete_fears_height ) |
| ( paul_plays_guitar paul_fears_height ) |
| ( jane_plays_guitar jane_fears_height ) |
| |
| ( paul_fears_cats ) |
| ( paul_plays_sax ) |
| |
| ( pete_plays_sax pete_fears_cats ) |
| ( paul_plays_sax paul_fears_cats ) |
| ( jane_plays_sax jane_fears_cats ) |
| |
| ( pete_plays_drums pete_fears_13 ) |
| ( paul_plays_drums paul_fears_13 ) |
| ( jane_plays_drums jane_fears_13 ) |
| |
| ( pete_plays_drums pete_fears_height ) |
| ( paul_plays_drums paul_fears_height ) |
| ( jane_plays_drums jane_fears_height ) |
| |
| )) |
| |
o-----------------------------------------------------------------------o
2. Model(o) = Consat.Mod ><> http://suo.ieee.org/ontology/msg03718.html
3. Tenor(o) = Consat.Ten (Just The Gist Of It)
o-------------------------------------------------o
| (pete_plays_guitar ) | <01> -
| (pete_plays_sax ) | <02> -
| pete_plays_drums | <03> +
| (paul_plays_drums ) | <04> -
| (jane_plays_drums ) | <05> -
| paul_plays_guitar | <06> +
| (paul_plays_sax ) | <07> -
| (jane_plays_guitar ) | <08> -
| jane_plays_sax | <09> +
| (pete_fears_13 ) | <10> -
| pete_fears_cats | <11> +
| (pete_fears_height ) | <12> -
| (paul_fears_cats ) | <13> -
| (jane_fears_cats ) | <14> -
| paul_fears_13 | <15> +
| (paul_fears_height ) | <16> -
| (jane_fears_13 ) | <17> -
| jane_fears_height * | <18> +
o-------------------------------------------------o
4. Sense(o) = Consat.Sen
o-------------------------------------------------o
| pete_plays_drums | <03>
| paul_plays_guitar | <06>
| jane_plays_sax | <09>
| pete_fears_cats | <11>
| paul_fears_13 | <15>
| jane_fears_height | <18>
o-------------------------------------------------o
As one proceeds through the subsessions of the Theme One Study session,
the computation transforms its larger "signs", in this case text files,
from one to the next, in the sequence: Logue, Model, Tenor, and Sense.
Let us see if we can pin down, on sign-theoretic grounds,
why this very sort of exercise is so routinely necessary.
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
We were in the middle of pursuing several questions about
sign relational transformations in general, in particular,
the following Example of a sign transformation that arose
in the process of setting up and solving a classical sort
of constraint satisfaction problem.
o-----------------------------o-----------------------------o
| Objective Framework | Interpretive Framework |
o-----------------------------o-----------------------------o
| |
| s_1 = Logue(o) | |
| / | |
| / | |
| @ | |
| · \ | |
| · \ | |
| · i_1 = Model(o) v |
| · s_2 = Model(o) | |
| · / | |
| · / | |
| Object = o · · · · · · @ | |
| · \ | |
| · \ | |
| · i_2 = Tenor(o) v |
| · s_3 = Tenor(o) | |
| · / | |
| · / | |
| @ | |
| \ | |
| \ | |
| i_3 = Sense(o) v |
| |
o-----------------------------------------------------------o
Figure. Computation As Semiotic Transformation
1. Logue(o) = Consat.Log
o-----------------------------------------------------------------------o
| |
| (( pete_plays_guitar ),( pete_plays_sax ),( pete_plays_drums )) |
| (( paul_plays_guitar ),( paul_plays_sax ),( paul_plays_drums )) |
| (( jane_plays_guitar ),( jane_plays_sax ),( jane_plays_drums )) |
| |
| (( pete_plays_guitar ),( paul_plays_guitar ),( jane_plays_guitar )) |
| (( pete_plays_sax ),( paul_plays_sax ),( jane_plays_sax )) |
| (( pete_plays_drums ),( paul_plays_drums ),( jane_plays_drums )) |
| |
| (( pete_fears_13 ),( pete_fears_cats ),( pete_fears_height )) |
| (( paul_fears_13 ),( paul_fears_cats ),( paul_fears_height )) |
| (( jane_fears_13 ),( jane_fears_cats ),( jane_fears_height )) |
| |
| (( pete_fears_13 ),( paul_fears_13 ),( jane_fears_13 )) |
| (( pete_fears_cats ),( paul_fears_cats ),( jane_fears_cats )) |
| (( pete_fears_height ),( paul_fears_height ),( jane_fears_height )) |
| |
| (( |
| |
| ( pete_plays_guitar ) |
| ( pete_fears_height ) |
| |
| ( pete_plays_guitar pete_fears_height ) |
| ( paul_plays_guitar paul_fears_height ) |
| ( jane_plays_guitar jane_fears_height ) |
| |
| ( paul_fears_cats ) |
| ( paul_plays_sax ) |
| |
| ( pete_plays_sax pete_fears_cats ) |
| ( paul_plays_sax paul_fears_cats ) |
| ( jane_plays_sax jane_fears_cats ) |
| |
| ( pete_plays_drums pete_fears_13 ) |
| ( paul_plays_drums paul_fears_13 ) |
| ( jane_plays_drums jane_fears_13 ) |
| |
| ( pete_plays_drums pete_fears_height ) |
| ( paul_plays_drums paul_fears_height ) |
| ( jane_plays_drums jane_fears_height ) |
| |
| )) |
| |
o-----------------------------------------------------------------------o
2. Model(o) = Consat.Mod ><> http://suo.ieee.org/ontology/msg03718.html
3. Tenor(o) = Consat.Ten (Just The Gist Of It)
o-------------------------------------------------o
| (pete_plays_guitar ) | <01> -
| (pete_plays_sax ) | <02> -
| pete_plays_drums | <03> +
| (paul_plays_drums ) | <04> -
| (jane_plays_drums ) | <05> -
| paul_plays_guitar | <06> +
| (paul_plays_sax ) | <07> -
| (jane_plays_guitar ) | <08> -
| jane_plays_sax | <09> +
| (pete_fears_13 ) | <10> -
| pete_fears_cats | <11> +
| (pete_fears_height ) | <12> -
| (paul_fears_cats ) | <13> -
| (jane_fears_cats ) | <14> -
| paul_fears_13 | <15> +
| (paul_fears_height ) | <16> -
| (jane_fears_13 ) | <17> -
| jane_fears_height * | <18> +
o-------------------------------------------------o
4. Sense(o) = Consat.Sen
o-------------------------------------------------o
| pete_plays_drums | <03>
| paul_plays_guitar | <06>
| jane_plays_sax | <09>
| pete_fears_cats | <11>
| paul_fears_13 | <15>
| jane_fears_height | <18>
o-------------------------------------------------o
We can worry later about the proper use of quotation marks
in discussing such a case, where the file name "Yada.Yak"
denotes a piece of text that expresses a proposition that
describes an objective situation or an intentional object,
but whatever the case it is clear that we are knee & neck
deep in a sign relational situation of a modest complexity.
I think that the right sort of analogy might help us
to sort it out, or at least to tell what's important
from the things that are less so. The paradigm that
comes to mind for me is the type of context in maths
where we talk about the "locus" or the "solution set"
of an equation, and here we think of the equation as
denoting its solution set or describing a locus, say,
a point or a curve or a surface or so on up the scale.
In this figure of speech, we might say for instance:
| o is
| what "x^3 - 3x^2 + 3x - 1 = 0" denotes is
| what "(x-1)^3 = 0" denotes is
| what "1" denotes
| is 1.
Making explicit the assumptive interpretations
that the context probably enfolds in this case,
we assume this description of the solution set:
{x in the Reals : x^3 - 3x^2 + 3x -1 = 0} = {1}.
In sign relational terms, we have the 3-tuples:
| <o, "x^3 - 3x^2 + 3x - 1 = 0", "(x-1)^3 = 0">
|
| <o, "(x-1)^3 = 0", "1">
|
| <o, "1", "1">
As it turns out we discover that the
object o was really just 1 all along.
But why do we put ourselves through the rigors of these
transformations at all? If 1 is what we mean, why not
just say "1" in the first place and be done with it?
A person who asks a question like that has forgetten
how we keep getting ourselves into these quandaries,
and who it is that assigns the problems, for it is
Nature herself who is the taskmistress here and the
problems are set in the manner that she determines,
not in the style to which we would like to become
accustomed. The best that we can demand of our
various and sundry calculi is that they afford
us with the nets and the snares more readily
to catch the shape of the problematic game
as it flies up before us on its own wings,
and only then to tame it to the amenable
demeanors that we find to our liking.
In sum, the first place is not ours to take.
We are but poor second players in this game.
That understood, I can now lay out our present Example
along the lines of this familiar mathematical exercise.
| o is
| what Consat.Log denotes is
| what Consat.Mod denotes is
| what Consat.Ten denotes is
| what Consat.Sen denotes.
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
It will be good to keep this picture before us a while longer:
o-----------------------------o-----------------------------o
| Objective Framework | Interpretive Framework |
o-----------------------------o-----------------------------o
| |
| s_1 = Logue(o) | |
| / | |
| / | |
| @ | |
| · \ | |
| · \ | |
| · i_1 = Model(o) v |
| · s_2 = Model(o) | |
| · / | |
| · / | |
| Object = o · · · · · · @ | |
| · \ | |
| · \ | |
| · i_2 = Tenor(o) v |
| · s_3 = Tenor(o) | |
| · / | |
| · / | |
| @ | |
| \ | |
| \ | |
| i_3 = Sense(o) v |
| |
o-----------------------------------------------------------o
Figure. Computation As Semiotic Transformation
The labels that decorate the syntactic plane and indicate
the semiotic transitions in the interpretive panel of the
framework point us to text files whose contents rest here:
http://suo.ieee.org/ontology/msg03722.html
The reason that I am troubling myself -- and no doubt you --
with the details of this Example is because it highlights
a number of the thistles that we will have to grasp if we
ever want to escape from the traps of YARNBOL and YARWARS
in which so many of our fairweather fiends are seeking to
ensnare us, and not just us -- the whole web of the world.
YARNBOL = Yet Another Roman Numeral Based Ontology Language.
YARWARS = Yet Another Representation Without A Reasoning System.
In order to avoid this, or to reverse the trend once it gets started,
we just have to remember what a dynamic living process a computation
really is, precisely because it is meant to serve as an iconic image
of dynamic, deliberate, purposeful transformations that we are bound
to go through and to carry out in a hopeful pursuit of the solutions
to the many real live problems that life and society place before us.
So I take it rather seriously.
Okay, back to the grindstone.
The question is: "Why are these trips necessary?"
How come we don't just have one proper expression
for each situation under the sun, or all possible
suns, I guess, for some, and just use that on any
appearance, instance, occasion of that situation?
Why is it ever necessary to begin with an obscure description
of a situation? -- for that is exactly what the propositional
expression caled "Logue(o)", for Example, the Consat.Log file,
really is.
Maybe I need to explain that first.
The first three items of syntax -- Logue(o), Model(o), Tenor(o) --
are all just so many different propositional expressions that
denote one and the same logical-valued function p : X -> %B%,
and one whose abstract image we may well enough describe as
a boolean function of the abstract type q : %B%^k -> %B%,
where k happens to be 18 in the present Consat Example.
If we were to write out the truth table for q : %B%^18 -> %B%
it would take 2^18 = 262144 rows. Using the bold letter #x#
for a coordinate tuple, writing #x# = <x_1, ..., x_18>, each
row of the table would have the form <x_1, ..., x_18, q(#x#)>.
And the function q is such that all rows evalue to %0% save 1.
Each of the four different formats expresses this fact about q
in its own way. The first three are logically equivalent, and
the last one is the maximally determinate positive implication
of what the others all say.
From this point of view, the logical computation that we went through,
in the sequence Logue, Model, Tenor, Sense, was a process of changing
from an obscure sign of the objective proposition to a more organized
arrangement of its satisfying or unsatisfying interpretations, to the
most succinct possible expression of the same meaning, to an adequate
positive projection of it that is useful enough in the proper context.
This is the sort of mill -- it's called "computation" -- that we have
to be able to put our representations through on a recurrent, regular,
routine basis, that is, if we expect them to have any utility at all.
And it is only when we have started to do that in genuinely effective
and efficient ways, that we can even begin to think about facilitating
any bit of qualitative conceptual analysis through computational means.
And as far as the qualitative side of logical computation
and conceptual analysis goes, we have barely even started.
o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o~~~~~~~~~o
We are contemplating the sequence of initial and normal forms
for the Consat problem and we have noted the following system
of logical relations, taking the enchained expressions of the
objective situation o in a pairwise associated way, of course:
Logue(o) <=> Model(o) <=> Tenor(o) => Sense(o).
The specifics of the propositional expressions are cited here:
http://suo.ieee.org/ontology/msg03722.html
If we continue to pursue the analogy that we made with the form
of mathematical activity commonly known as "solving equations",
then there are many salient features of this type of logical
problem solving endeavor that suddenly leap into the light.
First of all, we notice the importance of "equational reasoning"
in mathematics, by which I mean, not just the quantitative type
of equation that forms the matter of the process, but also the
qualitative type of equation, or the "logical equivalence",
that connects each expression along the way, right up to
the penultimate stage, when we are satisfied in a given
context to take a projective implication of the total
knowledge of the situation that we have been taking
some pains to preserve at every intermediate stage
of the game.
This general pattern or strategy of inference, working its way through
phases of "equational" or "total information preserving" inference and
phases of "implicational" or "selective information losing" inference,
is actually very common throughout mathematics, and I have in mind to
examine its character in greater detail and in a more general setting.
Just as the barest hint of things to come along these lines, you might
consider the question of what would constitute the equational analogue
of modus ponens, in other words the scheme of inference that goes from
x and x=>y to y. Well the answer is a scheme of inference that passes
from x and x=>y to x&y, and then being reversible, back again. I will
explore the rationale and the utility of this gambit in future reports.
One observation that we can make already at this point,
however, is that these schemes of equational reasoning,
or reversible inference, remain poorly developed among
our currently prevailing styles of inference in logic,
their potentials for applied logical software hardly
being broached in our presently available systems.
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Extra Examples
1. Propositional logic example.
Files: Alpha.lex + Prop.log
Ref: [Cha, 20, Example 2.12]
2. Chemical synthesis problem.
Files: Chem.*
Ref: [Cha, 21, Example 2.13]
3. N Queens problem.
Files: Queen*.*, Q8.*, Q5.*
Refs: [BaC, 166], [VaH, 122], [Wir, 143].
Notes: Only the 5 Queens example will run in 640K memory.
Use the "Queen.lex" file to load the "Q5.eg*" log files.
4. Five Houses puzzle.
Files: House.*
Ref: [VaH, 132].
Notes: Will not run in 640K memory.
5. Graph coloring example.
Files: Color.*
Ref: [Wil, 196].
6. Examples of Cook's Theorem in computational complexity,
that propositional satisfiability is NP-complete.
Files: StiltN.* = "Space and Time Limited Turing Machine",
with N units of space and N units of time.
StuntN.* = "Space and Time Limited Turing Machine",
for computing the parity of a bit string,
with Number of Tape cells of input equal to N.
Ref: [Wil, 188-201].
Notes: Can only run Turing machine example for input of size 2.
Since the last tape cell is used for an end-of-file marker,
this amounts to only one significant digit of computation.
Use the "Stilt3.lex" file to load the "Stunt2.egN" files.
Their Sense file outputs appear on the "Stunt2.seN" files.
7. Fabric knowledge base.
Files: Fabric.*, Fab.*
Ref: [MaW, 8-16].
8. Constraint Satisfaction example.
Files: Consat1.*, Consat2.*
Ref: [Win, 449, Exercise 3-9].
Notes: Attributed to Kenneth D. Forbus.
References
| Angluin, Dana,
|"Learning with Hints", in
|'Proceedings of the 1988 Workshop on Computational Learning Theory',
| edited by D. Haussler & L. Pitt, Morgan Kaufmann, San Mateo, CA, 1989.
| Ball, W.W. Rouse, & Coxeter, H.S.M.,
|'Mathematical Recreations and Essays', 13th ed.,
| Dover, New York, NY, 1987.
| Chang, Chin-Liang & Lee, Richard Char-Tung,
|'Symbolic Logic and Mechanical Theorem Proving',
| Academic Press, New York, NY, 1973.
| Denning, Peter J., Dennis, Jack B., and Qualitz, Joseph E.,
|'Machines, Languages, and Computation',
| Prentice-Hall, Englewood Cliffs, NJ, 1978.
| Edelman, Gerald M.,
|'Topobiology: An Introduction to Molecular Embryology',
| Basic Books, New York, NY, 1988.
| Lloyd, J.W.,
|'Foundations of Logic Programming',
| Springer-Verlag, Berlin, 1984.
| Maier, David & Warren, David S.,
|'Computing with Logic: Logic Programming with Prolog',
| Benjamin/Cummings, Menlo Park, CA, 1988.
| McClelland, James L. and Rumelhart, David E.,
|'Explorations in Parallel Distributed Processing:
| A Handbook of Models, Programs, and Exercises',
| MIT Press, Cambridge, MA, 1988.
| Peirce, Charles Sanders,
|'Collected Papers of Charles Sanders Peirce',
| edited by Charles Hartshorne, Paul Weiss, & Arthur W. Burks,
| Harvard University Press, Cambridge, MA, 1931-1960.
| Peirce, Charles Sanders,
|'The New Elements of Mathematics',
| edited by Carolyn Eisele, Mouton, The Hague, 1976.
|'Charles S. Peirce: Selected Writings; Values in a Universe of Chance',
| edited by Philip P. Wiener, Dover, New York, NY, 1966.
| Spencer Brown, George,
|'Laws of Form',
| George Allen & Unwin, London, UK, 1969.
| Van Hentenryck, Pascal,
|'Constraint Satisfaction in Logic Programming',
| MIT Press, Cambridge, MA, 1989.
| Wilf, Herbert S.,
|'Algorithms and Complexity',
| Prentice-Hall, Englewood Cliffs, NJ, 1986.
| Winston, Patrick Henry,
|'Artificial Intelligence, 2nd ed.,
| Addison-Wesley, Reading, MA, 1984.
| Wirth, Niklaus,
|'Algorithms + Data Structures = Programs',
| Prentice-Hall, Englewood Cliffs, NJ, 1976.
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Cactus Town Cartoons
01. http://suo.ieee.org/ontology/msg03567.html
02. http://suo.ieee.org/ontology/msg03571.html
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Differential Analytic Turing Automata (DATA)
01. http://suo.ieee.org/ontology/msg00596.html
02. http://suo.ieee.org/ontology/msg00618.html
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Differential Logic
01. http://suo.ieee.org/ontology/msg04040.html
02. http://suo.ieee.org/ontology/msg04041.html
03. http://suo.ieee.org/ontology/msg04045.html
04. http://suo.ieee.org/ontology/msg04046.html
05. http://suo.ieee.org/ontology/msg04047.html
06. http://suo.ieee.org/ontology/msg04048.html
07. http://suo.ieee.org/ontology/msg04052.html
08. http://suo.ieee.org/ontology/msg04054.html
09. http://suo.ieee.org/ontology/msg04055.html
10. http://suo.ieee.org/ontology/msg04067.html
11. http://suo.ieee.org/ontology/msg04068.html
12. http://suo.ieee.org/ontology/msg04069.html
13. http://suo.ieee.org/ontology/msg04070.html
14. http://suo.ieee.org/ontology/msg04072.html
15. http://suo.ieee.org/ontology/msg04073.html
16. http://suo.ieee.org/ontology/msg04074.html
17. http://suo.ieee.org/ontology/msg04077.html
18. http://suo.ieee.org/ontology/msg04079.html
19. http://suo.ieee.org/ontology/msg04080.html
20.
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Extensions Of Logical Graphs
01. http://www.virtual-earth.de/CG/cg-list/old/msg03351.html
02. http://www.virtual-earth.de/CG/cg-list/old/msg03352.html
03. http://www.virtual-earth.de/CG/cg-list/old/msg03353.html
04. http://www.virtual-earth.de/CG/cg-list/old/msg03354.html
05. http://www.virtual-earth.de/CG/cg-list/old/msg03376.html
06. http://www.virtual-earth.de/CG/cg-list/old/msg03379.html
07. http://www.virtual-earth.de/CG/cg-list/old/msg03381.html
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Functional Conception Of Quantificational Logic
01. http://suo.ieee.org/ontology/msg03562.html
02. http://suo.ieee.org/ontology/msg03563.html
03. http://suo.ieee.org/ontology/msg03577.html
04. http://suo.ieee.org/ontology/msg03578.html
05. http://suo.ieee.org/ontology/msg03579.html
06. http://suo.ieee.org/ontology/msg03580.html
07. http://suo.ieee.org/ontology/msg03581.html
08. http://suo.ieee.org/ontology/msg03582.html
09. http://suo.ieee.org/ontology/msg03583.html
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Propositional Equation Reasoning Systems (PERS)
01. http://suo.ieee.org/email/msg04187.html
02. http://suo.ieee.org/email/msg04305.html
03. http://suo.ieee.org/email/msg04413.html
04. http://suo.ieee.org/email/msg04419.html
05. http://suo.ieee.org/email/msg04422.html
06. http://suo.ieee.org/email/msg04423.html
07. http://suo.ieee.org/email/msg04432.html
08. http://suo.ieee.org/email/msg04454.html
09. http://suo.ieee.org/email/msg04455.html
10. http://suo.ieee.org/email/msg04476.html
11. http://suo.ieee.org/email/msg04510.html
12. http://suo.ieee.org/email/msg04517.html
13. http://suo.ieee.org/email/msg04525.html
14. http://suo.ieee.org/email/msg04533.html
15. http://suo.ieee.org/email/msg04536.html
16. http://suo.ieee.org/email/msg04542.html
17. http://suo.ieee.org/email/msg04546.html
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Reflective Extension Of Logical Graphs (RefLog)
01. http://suo.ieee.org/email/msg05694.html
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Sequential Interactions Generating Hypotheses
01. http://suo.ieee.org/email/msg02607.html
02. http://suo.ieee.org/email/msg02608.html
03. http://suo.ieee.org/email/msg03183.html
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Sowa's Top Level Categories
01. http://suo.ieee.org/email/msg01949.html
02. http://suo.ieee.org/email/msg01956.html
03. http://suo.ieee.org/email/msg01966.html
04. http://suo.ieee.org/ontology/msg00048.html
05. http://suo.ieee.org/ontology/msg00051.html
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Zeroth Order Logic (ZOL)
01. http://suo.ieee.org/email/msg01246.html
02. http://suo.ieee.org/email/msg01406.html
03. http://suo.ieee.org/email/msg01546.html
04. http://suo.ieee.org/email/msg01561.html
05. http://suo.ieee.org/email/msg01670.html
06. http://suo.ieee.org/email/msg01739.html
07. http://suo.ieee.org/email/msg01966.html
08. http://suo.ieee.org/email/msg01985.html
09. http://suo.ieee.org/email/msg01988.html
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Zeroth Order Theories (ZOT's)
01. http://suo.ieee.org/ontology/msg03680.html
02. http://suo.ieee.org/ontology/msg03681.html
03. http://suo.ieee.org/ontology/msg03682.html
04. http://suo.ieee.org/ontology/msg03683.html
05. http://suo.ieee.org/ontology/msg03685.html
06. http://suo.ieee.org/ontology/msg03687.html
07. http://suo.ieee.org/ontology/msg03689.html
08. http://suo.ieee.org/ontology/msg03691.html
09. http://suo.ieee.org/ontology/msg03693.html
10. http://suo.ieee.org/ontology/msg03694.html
11. http://suo.ieee.org/ontology/msg03695.html
12. http://suo.ieee.org/ontology/msg03696.html
13. http://suo.ieee.org/ontology/msg03700.html
14. http://suo.ieee.org/ontology/msg03701.html
15. http://suo.ieee.org/ontology/msg03702.html
16. http://suo.ieee.org/ontology/msg03703.html
17. http://suo.ieee.org/ontology/msg03705.html
18. http://suo.ieee.org/ontology/msg03706.html
19. http://suo.ieee.org/ontology/msg03707.html
20. http://suo.ieee.org/ontology/msg03708.html
21. http://suo.ieee.org/ontology/msg03709.html
22. http://suo.ieee.org/ontology/msg03711.html
23. http://suo.ieee.org/ontology/msg03712.html
24. http://suo.ieee.org/ontology/msg03715.html
25. http://suo.ieee.org/ontology/msg03716.html
26. http://suo.ieee.org/ontology/msg03717.html
27. http://suo.ieee.org/ontology/msg03718.html
28. http://suo.ieee.org/ontology/msg03720.html
29. http://suo.ieee.org/ontology/msg03721.html
30. http://suo.ieee.org/ontology/msg03722.html
31. http://suo.ieee.org/ontology/msg03723.html
32. http://suo.ieee.org/ontology/msg03724.html
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