Changes

States of information with respect to the placement of this fret or fulcrum can vary with time.  Indeed, it is a goal of the knowledge directed system to leverage this chordal node toward optimal possibilities, and this normally requires a continuing interplay of experimental variations with attunement to the results.  Therefore it seems necessary to develop a view of manifolds in which the location or depth of the primary division that is effective in explaining behavior can vary from moment to moment.  The total phenomenal state of a system is its most fundamental reality, but the way in which these states are connected to make a space, with information that metes out distances, portrays curvatures, and binds fibers into bundles — all this is an illusion projected onto the mist of individual states from items of code in the knowledge component of the current state.

States of information with respect to the placement of this fret or fulcrum can vary with time.  Indeed, it is a goal of the knowledge directed system to leverage this chordal node toward optimal possibilities, and this normally requires a continuing interplay of experimental variations with attunement to the results.  Therefore it seems necessary to develop a view of manifolds in which the location or depth of the primary division that is effective in explaining behavior can vary from moment to moment.  The total phenomenal state of a system is its most fundamental reality, but the way in which these states are connected to make a space, with information that metes out distances, portrays curvatures, and binds fibers into bundles — all this is an illusion projected onto the mist of individual states from items of code in the knowledge component of the current state.

   

   

The mathematical and computational tools needed to implement such a perspective goes beyond the understanding of systems and their spaces that I currently have in my command.  It is considered bad form for a workman to blame his tools, but in practical terms there continues to be room for better design.  The languages and media that are made available do, indeed, make some things easier to see, to say, and to do than others, whether it is English, Pascal (Wirth, 1976), or Hopi (Whorf, 1956) that is being spoken.  A persistent attention to this pragmatic factor in epistemology will be necessary to implement the brands of knowledge-directed systems whose intelligence can function in real time.  To provide a computational language that can help to clarify these problems is one of the chief theoretical tasks that I see for myself in the work ahead.

The mathematical and computational tools needed to implement such a perspective go beyond the understanding of systems and their spaces that I currently have in my command.  It is considered bad form for a workman to blame his tools, but in practical terms there continues to be room for better design.  The languages and media that are made available do, indeed, make some things easier to see, to say, and to do than others, whether it is English, Pascal (Wirth, 1976), or Hopi (Whorf, 1956) that is being spoken.  A persistent attention to this pragmatic factor in epistemology will be necessary to implement the brands of knowledge-directed systems whose intelligence can function in real time.  To provide a computational language that can help to clarify these problems is one of the chief theoretical tasks that I see for myself in the work ahead.

A system moving through a knowledge field would ideally be equipped with a strategy for discovering the structure of that field to the greatest extent possible.  That ideal strategy is a piece of knowledge, a segment of code existing in the knowledge space of every point that has this option within its potential.  Does discovery mark only a different awareness of something that already exists, a changed attitude toward a piece of knowledge already possessed?  Or can it be something more substantial?  Are genuine invention and proper extensions of the shared code possible?  Can intelligent systems acquire pieces of knowledge that are not already in their possession, or in their potential to know?

A system moving through a knowledge field would ideally be equipped with a strategy for discovering the structure of that field to the greatest extent possible.  That ideal strategy is a piece of knowledge, a segment of code existing in the knowledge space of every point that has this option within its potential.  Does discovery mark only a different awareness of something that already exists, a changed attitude toward a piece of knowledge already possessed?  Or can it be something more substantial?  Are genuine invention and proper extensions of the shared code possible?  Can intelligent systems acquire pieces of knowledge that are not already in their possession, or in their potential to know?