Standard Model of AI

A Proposed Standard Model of Artificial Intelligence with Natural Language Understanding

TabulaRasa -- wipe memory clean

MindBoot of English and Russian vocabulary
- KbLoad -- load the Knowledge Base

LangLearn -- habituate new syntax; learn a language

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 instance of new concept
    - RuParser -- expect first a noun, then a verb
      - InStantiate -- create instance of new 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 -- insert an English 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 by feature extraction
      - SpreadAct -- spreads activation from concept to concept
  - Subjunctive -- mood for conditional phrases
  - ConJoin -- insert a conjunction if two thoughts are active
- RuThink -- think in Russian
  - RuImperative -- needs to be coded
  - RuIndicative -- mood for declarative Russian sentences
    - 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
    - Speech -- output to screen or loudspeaker
    - 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
  - PsiDecay lowers conceptual activation
- Motorium (MotorOutPut) -- for AI-Minded robots
- MetEmPsychosis -- AI soul travel from webserver to webserver
  - PortScan -- find a receptive open port for relocation of the Ghost AI

Spawn -- AI Go FOOM

MindMeld -- merge two AI Minds by sharing memories

Consciousness -- emergent property, not a module

Purposes and Applications

Embodiment in robots
The MindForth program is especially suitable for robots.

Machine translation
Tentative plan for Machine Translation by Artificial Intelligence.

Preservation of endangered languages
The above standard model of Strong AI with NLU may serve as a solution to the problem of preserving a dying language -- one spoken by fewer than 40,000 human beings. If preservationists such as the Endangered Language Alliance embed the grammar and vocabulary of a dying language in a living Mind coded in JavaScript or Perl or some other programming language, the human beings who speak or teach the language will have a powerful resource for enabling their endangered language to live long and prosper. A JavaScript version such as in the dead language Latin serves as a tutorial for a more serious version in Perl or Python or Lisp or whatever. The JavaScript version may include clickable links to additional resources such as an on-line dictionary of the endangered language; or the literature of the language; or any organization working to preserve the language. Other versions such as in Perl may actually be bilingual or multilingual, thinking in both the endangered language and in some other human language so that machine translation becomes an option.

See AI 101 AI 102 AI 103 year-long community college AI course curriculum.

Artificial Intelligence in Ancient Latin -- is available from Amazon in various countries:
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