Synopsis
/^^^^^^^^^\ English Lexicon Associative Tags /^^^^^^^^^\ / visual \ _______ / auditory \ / memory \ / \ / memory \ | channel | / English \ | channel | | | \ syntax /---|-------------\ | | /--------|--------\ \_______/ | | | | | recog-|nition | | | | | | ___|___ | ___V__ ___V_ | ________ | | | /image \ | / \ fex / \ rv | / \ | | | / percept \---|---/Psi EnX \-----/English\----|-/ audNode \| | | \ engrams /---|---\concepts/-----\lexicon/----|-\ phonemes / | | \_______/ | \______/ fin \_____/ utg | \________/ |diagrams.html shows a Theory of Mind.
ATTACH uses the concept number "nen" (English lexicon);
initial activation "act" level zero; mindcore-exit tag "fex";
grammar category "g"; fiber-in tag "fin"; and recall-vector "rv"
to set up a new node for a lexical concept in the English
lexical memory array en for a particular time t.
mindloop.html is a flowchart of Mind.
// enExam() is a method of enNode()
// for access to English lexical nodes.
// 19sep2001 Mind.Forth order 0-5:
function enExam() {
en0 = this.mt;
en1 = this.act;
en2 = this.fex;
en3 = this.g;
en4 = this.fin;
en5 = this.rv;
}
// enNode() is called from Attach()
// to create or modify an English concept node:
function enNode(mt,act,fex,g,fin,rv) {
this.mt = mt; // move-tag
this.act = act; // activation level
this.fex = fex; // fiber-out (from psi)
this.g = g; // grammar category
this.fin = fin; // fiber-in (to psi)
this.rv = rv; // recall-vector
this.enExam = enExam; // method.
}
// Attach() is called from newConcept()
// to create a node on a quasi-concept-fiber
// by "attaching" associative tags to it.
function Attach() {
enLexicon[t] = new enNode(mt,0,fex,g,fin,rv);
}
\ ATTACH is called from NEWCONCEPT or OLDCONCEPT
\ to create a node on a quasi-concept-fiber
: ATTACH ( Concept number "nen". ) mt @ t @ 0 en{ !
( Do not store the activation level; it is a transient. )
( Store mindcore EXit tag. ) fex @ t @ 2 en{ !
( Store the grammar category "g".) g @ t @ 3 en{ !
( Store mindcore IN tag. ) fin @ t @ 4 en{ !
( Store the recall vector "rv". ) rv @ t @ 5 en{ !
; \ Return to OLDCONCEPT or to NEWCONCEPT.
ATTACH receives values for each associative flag from other
subroutines, then inserts the values within specific points
on a node of the En(glish) lexical memory engram.
[ ] If necessary, revamp Flushvector in favor of piecemeal Psi-enx transfers.
[ ] Create Attach modules specific to each natural language in a polyglot AI.
Attach and Associative-Tag Resources
Last updated: 17 November 2001
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