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OldConcept Module of AI4U Artificial Intelligence

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A.T. Murray

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Jul 30, 2023, 5:28:44 PM7/30/23
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OldConcept module of the
English and Russian bilingual ghost.pl AI in Perl
Mens Latina in Latin -- MindForth for Robots

1. Diagram of the OldConcept Mind-Module

/^^^^^^^^^\ A Recognized Word Activates An Idea /^^^^^^^^^\
/ EYE \ _______ / EAR \
/ \ CONCEPTS / New- \ / \
| _______ | | | | _______ ( Concept ) | C match! |
| /old \!!!!|!!|!| | / Old- \ \_______/ | +A match! |
| / image \---|----+ | ( Concept ) | | ++T match! |
| \ fetch / | |c| | \_______/------|------|-----S recog! |
| \_______/ | |a| | | \ | | |
| | |t| | | \ | | C match! |
| visual | |s| | } \ | | +A match! |
| | e| | | | \ _V__ | ++T match! |
| memory | a| | | | \/ \ | +++S busy |
| | t| | | | / \ | U skip |
| reactivation | | |f| __V____ (EnParser) | P skip |
| | | |i| / \ \ / | |
| channel | | |s| (SpreadAct) \____/ | C match! |
| _______ | | |h| \_______/ | | +A match! |
| /new \ | |_|_| / ________V__ | R stop |
| / image \ | / \/ / \ | S skip |
| \ store /---|-\ Psy /------( InStantiate ) | |
| \_______/ | \___/ \___________/ | |

2. Purpose of the OldConcept Module

The purpose of the OldConcept module is to manage various housekeeping details involving the recognition of an already known word by the AI Mind. If these details are shunted off to other mind-modules, the OldConcept module could eventually be eliminated as obsolete or unnecessary.

3. Algorithm of the OldConcept Mind-Module

3.A. Operating by default if AudInput recognizes a word of input.

Although AudInput and AudRecog may detect a previously known word in the stream of input, sometimes further interpretation is necessay for the AI to decide upon the ambiguous part of speech of the recognized word.

3.B. Extracting quasi-neuronal associative tags and flags from the conceptual flag-panel of a word stored as a concept in the conceptual memory.

OldConcept searches backwards through the conceptual memory to find and hold onto various somewhat immutable features of a verbal concept, such as its part of speech, its gender, and which human language it belongs to.

3.C. Interpreting certain personal pronouns, such as "you" and "I" in English or "ты" and "я" in Russian, as referring to diametrically opposite entities, depending on whether the AI Mind is thinking internally or is engaged in the understanding of external input.

OldConcept uses the point-of-view $pov flag to discriminate between external input and internal thinking. During input from the outside world, if a human user speaks as "I" to the artificial intelligence (AI), the AI software internally activates the opposite concept of "you" in order to address the user as "you" and in order to think about the user as "you" and not as the ego-concept of "I". AI Mind maintainers (hire a staff of Perl coders!) may need to work further on certain aspects of the point-of-view situation, such as whether to interpret the external use of the pronoun "we" as referring to totally separate, external persons, or as referring to the combined community of the external user and the AI Mind itself. The context of the discussion between user and AI determines the scope and reference of pronouns like "we" and "us", so a mind-module like OldConcept may need further refinement to distinguish between totally external "we" and a "we" that includes both parties to the discussion.

4. Code of OldConcept() from ghost302.pl AI source code in Perl

sub OldConcept() { # http://ai.neocities.org/OldConcept.html
for (my $i=$t; $i>$midway; $i--) { # 2016feb10: search backwards in time.
my @k=split(',',$psy[$i]); # 2016mar15: inspect @psy knowledge nodes
if ($k[1] == $oldpsi) { # 2017jun08: find most recent oldpsi engram
if ($k[2] ne 0) { $hlc = $k[2] } # 2017jun08: k2 is still "hlc"
if ($k[6] > 0) { $pos = $k[6] } # 2017jun08: pos = part of speech;
if ($k[8] > 0) { $recnum = $k[8] } # 2017-10-01: rec(ognized) num(ber).
if ($k[8] > 0) { # 2017-10-01: TEST; REMOVE
} # 2017-10-01: TEST; REMOVE
if ($k[9] > 0) { $mfn = $k[9] } # 2017jun08: m/f/n gender 1/2/3;
} # 2016feb10: end of test for $oldpsi match in @psy array
} # 2016mar13: End of (for loop) searching through @psy conceptual array.
if ($hlc == 1) { # 201809-27: test for governing human-language-code
if ($oldpsi == 800) { $tbev = ($t-1) } # 2017may29: for be-verb negation.
if ($oldpsi == 800) { $becon = 1 } # 2018-06-26:
if ($oldpsi == 250) { # 2017may29: 250=NOT for negation of a verb.
if ($tbev > 0) { # 2017may29: if positive be-verb time;
my @k=split(',',$psy[$tbev]); # 2017may29: examine @psy array;
$k[5] = 250; # 2017jun08: set verb "jux" to 250=NOT for negation.
$psy[$tbev]="$k[0],$k[1],$k[2],$k[3],$k[4],$k[5],$k[6],"
. "$k[7],$k[8],$k[9],$k[10],$k[11],$k[12],$k[13],$k[14]"; # 2017-06-08
$tbev = 0; # 2017may29: reset for safety.
} # 2017may29: end of test for a positive tbev;
$prejux = 250; # 2016jun17: a flag for negation.
} # 2017may29: end of test for negation of a verb with "NOT".
if ($oldpsi == 404) { $kbzap = 404 } # 2018-06-28: 404=NO for KbRetro()
if ($oldpsi == 432) { $kbzap = 432 } # 2018-06-28: 432=YES for KbRetro()
$psi = $oldpsi; # 2016feb10: from MindForth.
if ($pov == 2) { # 2016mar27: during a pov "dual" conversation...
if ($oldpsi == 245) { $prepgen = 8 } # 2016mar30: if "Where?" call EnPrep()
if ($oldpsi == 245) { $wherecon = 1 } # 2018-11-01: if 245=where.
if ($oldpsi == 707) { $psi = 701; $rv = 0 } # 2016mar27: interpret "YOU" as "I";
if ($oldpsi == 701) { $psi = 707; $rv = 0 } # 2016mar27: interpret "I" as "YOU".
if ($oldpsi == 731) { $psi=737; $num=2; $dba=1; $rv=0 } # 2016mar30: we --> you.
if ($oldpsi == 800) { $becon = 1 } # 2018-06-26: flag for calling InFerence()
if ($pos == 5) { # 2018-06-26: nouns only, not yet pronouns;
if ($subjnom > 0) { # 2018-07-01: already subjnom?
$prednom = $oldpsi; # 2018-06-26: for InFerence()
} # 2018-06-26: end of test for pre-existing subjnom.
if ($prednom == 0) { # 2018-06-26: no prednom yet?
$subjnom = $oldpsi; # 2018-06-26: hold for InFerence()
$subjnum = $num; # 2018-06-26: hold for AskUser()
$qusnum = $num; # 2018-06-26: query-subject-number for AskUser()
} # 2018-06-26: alternate between $subjnom and $prednom.
} # 2018-06-26: end of test for a noun.
if ($fyi >2) { # 2017-04-12: keep following line for Tutorial and Diagnostic Mode
} # 2017-04-12: end of test for #3 Tutorial Mode or higher.
} # 2016mar27: end of test for other person communicating with the AI.
if ($moot == 0) { # 2017-09-22: if not suppression of a query...
EnParser(); # 2017-09-13: In preparation to call InStantiate().
} # 2017-09-22: end of test for $moot suppressing associative tags
} # 2016feb10: end of test for English human-language-code
if ($hlc == 3) { # 2018-09-27: test for governing human-language-code
$psi = $oldpsi; # 2016feb24: from MindForth.
if ($pov == 2) { # 2016apr01: during a pov "dual" conversation...
if ($oldpsi == 245) { $prepgen = 8 } # 2016apr01: if "Where?" call RuPrep()
# 2017-09-24: Above line needs to test not for English but for Russian.
if ($oldpsi == 1707) { $psi=1701; $num=1; $dba=1; $rv = 0 } #2016apr01: ТЫ --> Я
if ($oldpsi == 1701) { $psi=1707; $num=1; $dba=1; $rv = 0 } #2016apr01: Я --> ТЫ
if ($oldpsi == 1731) { $psi=1737; $num=2; $dba=1; $rv=0 } #2016apr01: МЫ --> ВЫ
} # 2016mar27: end of test for other person communicating with the AI.
RuParser(); # 2017-09-13: In preparation to call InStantiate().
} # 2016feb24: end of test for Russian human-language-code
$audnew = 0; # 2016feb09: Reset for sake of $rv of next input word.
$audpsi = 0; # 2017-03-15: From MindForth -- prevent carry-over.
$audrec = 0; # 2018-09-16: prevent carry-over.
$finpsi = 0; #2017-06-28: re-set for safety.
$len = 0; # 2017-03-15: From MindForth -- prevent carry-over.
$prc = 0; # 2018-09-16: prevent carry-over.
$tbev = 0; # 2018-07-06 BUGFIX: prevent carry-over from be-verb to non-be-verb.
} # 2017may29: OldConcept() returns to AudInput().

5. Variables for the OldConcept AI Mind-Module

$audnew -- holds onset-tag while rest of word comes in.

$audpsi -- concept number of word in @ear auditory memory array

$audrec -- auditory recognition concept-number

$finpsi -- carry-over end-psi during 32-SPACE or 13-CR (carriage return).

$hlc -- human-language code; 1=en; 2=de; 3=ru. May eventually be subject to override by the $engov or $degov or $rugov flag. May eventually be subject to override by the $engov or $degov or $rugov flag, so that an AI thinking in one language may discuss a word in a different language without switching over to thinking in the different language.

$len -- length, for avoiding input non-words. The len variable increments with each additional character during AudInput, and is reset to zero at the end of InStantiate or OldConcept or NewConcept, so that the auditory engram recall vector rv may be set for the first character of a word when the word-length is a unitary one.

$midway -- a dynamically adjustable time-limit for searching backwards in the experiential memory of the AI. In early AI Minds, "midway" is set to zero so as to search the entire memory. As AI Minds mature and acquire tremendously long lifetime memories, "midway" may be dynamically adjusted to search bacwards actually to the mid-way mark. If an AI has the task of finding all possible recollections and knowledge about a topic where an initial search has yielded no results, "midway" may be adjusted for a secondary and more exhaustive search.

$moot -- – as in legally moot – is a flag to prevent the formation of associative tags during mental operations which are not demonstrably a part of cognition, such as the processing of an input query, the formation of a silent inference, or the creation of an output query.

$num -- number-flag for grammatical number. Verbs must agree in number with their subjects. Two or more singular subjects require a plural verb.

$oldpsi -- used in OldConcept to de-globalize "psi"

$pos -- (part of speech) with a numeric value (1=adj 2=adv 3=conj 4=interj 5=noun 6=prep 7=pron 8=verb) to be inserted into the conceptual flag-panel of a concept during the process of instantiation of a concept-node at a particular time-point. The part-of-speech parameter allows an AI Mind to restrict operations to one particular part of speech, such as verb, or to similar parts of speech, such as nouns and pronouns to be used as subjects or objects of a verb.

$prc -- Provisional ReCognition in the AudRecog() auditory recognition module.

$prednom -- predicate nominative for InFerence.

$qusnum -- query-subject number – for the AskUser module to ask a question seeking yes-or-no confirmation of a logical inference made by the AI Mind.

$subjnom -- subject nominative – is a concept identified in the OldConcept() recognition module as the subject of an input causing the AI to make an inference.

$subjnum -- (subject number) for agreement in grammatical number between a subject and a predicate nominative noun.

$tbev -- time of be-verb for use with negjux negation-flag. In the OldConcept module, tbev is set for any 800=BE verb and is used for inserting a jux of 250=NOT into the flag-panel of a negated be-verb. The tbev flag may be reset to zero in the Sensorium module after any input has been processed by the AudInput module.

6. Troubleshooting and Robotic Psychosurgery

6.1.a. Symptom: (Something goes wrong.)
6.1.b. Solution: (AI Mind Maintainer devises solution.)

7. Future Development

Roadmap to Artificial Intelligence

8. Resources for OldConcept

http://github.com/kernc/mindforth/blob/master/wiki/OldConcept.wiki

http://mind.sourceforge.net/oldcept.html

https://scmax.ru/articles/434860 -- Mentifex о концепциях

9. Spread the News on TikTok and Other Venues

Are you on TikTok? Are you eager to be a ThoughtLeader and Influencer?
Create a TikTok video in the following easy steps.

I. Capture a screenshot of https://ai.neocities.org/OldConcept.html
for the background of your viral TikTok video.

II. In a corner of the screenshot show yourself talking about the OldConcept module.

III. Upload the video to TikTok with a caption including all-important hash-tags which will force governments and corporations to evaluate your work because of FOMO -- Fear Of Missing Out:
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A sample video is at
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10. AiTree of Mind-Modules for Natural Language Understanding

MainLoop calling subordinate mind-modules
TabulaRasa -- wipe memory clean
MindBoot of English and Russian vocabulary
KbLoad -- load the Knowledge Base
ReJuvenate -- recycle memory space
Sensorium -- sensory input with associative tagging to concepts
AudInput -- auditory input
AudListen -- listen for input
AudMem -- English auditory memory
AudRecog -- auditory recognition
OldConcept -- recognize a known old concept
EnParser -- preposition? (in)direct object?
InStantiate -- create new instance of concept
RuParser -- expect first a noun, then a verb
InStantiate -- create new instance of concept
NewConcept -- create a new concept
EnParser -- preposition? (in)direct object?
InStantiate -- create new instance of concept
RuParser -- expect first a noun, then a verb
InStantiate -- create new instance of concept
FileInput -- read files on a server
GusRecog -- sense of taste
OlfRecog -- sense of smell
TacRecog -- sense of touch
VisRecog -- sense of vision
Volition -- free will resulting from feeling and thinking
Emotion as influence on thought and free will
EnThink -- think in English
KbRetro -- retroactively adjust knowledge base
Imperative -- mood for issuing commands
Indicative -- mood for declarative statements
InFerence -- automated reasoning
AskUser -- validate an inference
EnNounPhrase -- think with a noun
EnPrep -- use a preposition
EnArticle -- use "a" or "the"
EnAdjective -- insert an adjective
EnPronoun -- substitute a pronoun for a noun
ConJoin -- insert a conjunction
EnVerbPhrase -- think with a verb
EnAuxVerb -- use auxiliary verb
EnAdverb modifies a verb
EnAdverb modifies another adverb
EnVerbGen -- generates an English verb-form
AudBuffer -- stores English phonemes
OutBuffer -- right-justifies English verb-form
VisRecog -- visual recognition inserts a noun
Subjunctive -- mood for conditional phrases
ConJoin -- insert a conjunction if two thoughts are active
RuThink -- think in Russian
RuImperative -- needs to be coded
RuIndicative -- needs to be expanded
InFerence -- automated reasoning
AskUser -- validate an inference
RuNounPhrase -- think with a Russian noun
RuAdjective -- insert a Russian adjective
RuAdjGen -- to generate a Russian adjective-form
RuAdverb -- insert a Russian adverb
RuPrep -- insert a Russian preposition
RuPronoun -- substitute a Russian pronoun for a noun
ConJoin -- insert a conjunction
RuVerbPhrase -- think with a Russian verb
RuVerbGen -- generate a Russian verb-form
AudBuffer -- stores Russian phonemes
OutBuffer -- right-justifies Russian verb-form
RuAdverb -- insert a Russian adverb
VisRecog -- visual recognition inserts a noun
RuNounPhrase -- direct-object noun
RuNounGen -- to generate a Russian noun-form
ConJoin -- insert a conjunction
Speech -- output to screen or loudspeaker
PsiDecay lowers conceptual activation
SpreadAct -- spreading activation from concept to concept
Spawn -- AI Go FOOM
MetEmPsychosis -- AI soul travel from webserver to webserver
MindMeld -- merge two AI Minds by sharing memories
Motorium (MotorOutPut) -- for AI-Minded robots
Consciousness -- emergent property, not a module

Nota Bene: This webpage is subject to change without notice. Any Netizen may copy, host or monetize this webpage to earn a stream of income by means of an affiliate program where the links to Amazon or other booksellers have code embedded which generates a payment to the person whose link brings a paying customer to the website of the bookseller.

This page was created by an independent scholar in artificial intelligence who created the following True AI Minds with sentience and with limited consciousness.

http://ai.neocities.org/mindforth.txt -- MindForth Robot AI in English.

http://ai.neocities.org/DeKi.txt -- Forth Robot AI in German.

http://ai.neocities.org/perlmind.txt -- ghost.pl Robot AI thinks in English and in Russian.

http://ai.neocities.org/Ghost.html -- JavaScript Robot AI Mind thinks in English.

http://ai.neocities.org/mens.html -- JavaScript Robot AI Mind thinks in Latin.

http://ai.neocities.org/Dushka.html -- JavaScript Robot AI Mind thinks in Russian.

The following books describe the free, open-source True AI Minds.

AI4U -- https://www.iuniverse.com/BookStore/BookDetails/137162-AI4U

AI4U (paperback) -- http://www.amazon.com/dp/0595259227

AI4U (hardbound) -- http://www.amazon.com/dp/0595654371

The Art of the Meme (Kindle eBook) -- http://www.amazon.com/dp/B007ZI66FS

Artificial Intelligence in Ancient Latin (paperback) -- https://www.amazon.com/dp/B08NRQ3HVW

Artificial Intelligence in Ancient Latin (Kindle eBook) -- https://www.amazon.com/dp/B08NGMK3PN
https://redditfavorites.com/products/artificial-intelligence-in-ancient-latin

Artificial Intelligence in German (Kindle eBook) -- http://www.amazon.com/dp/B00GX2B8F0

InFerence at Amazon USA (Kindle eBook) -- http://www.amazon.com/dp/B00FKJY1WY

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https://www.ebay.com
https://galaxycon.com/search?q=Mentifex

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See Classics Course in Latin AI for Community Colleges or Universities.
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https://ai.neocities.org/OldConcept.html

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http://github.com/PriorArt/AGI/wiki/MindGrid
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