On Tue, Apr 14, 2020 at 8:21 AM <mentific...@gmail.com> wrote: > > 1. Code the MainLoop module -- http://ai.neocities.org/MainLoop.html > > Code the MainLoop in Python. Use either an actual loop with subroutine calls, > or make a ringlet of perhaps object-oriented module stubs, each calling the > next stub. Provide the ESCAPE key or other mechanisms for the user to stop > the AI. > > 2. Code the Sensorium module or subroutine -- > http://ai.neocities.org/Sensorium.html > > Start a subroutine or module that is able to sense something coming in from > the outside world, i.e., a key-press on the keyboard. > > 3. Stub in the EnThink module for English thinking -- > http://ai.neocities.org/EnThink.html > > 4. Initiate the AudInput module for keyboard or acoustic input. > > Drop any [ESCAPE] mechanism down by one tier, into the AudInput module, but > do not eliminate or bypass the quite essential Sensorium module, because > another programmer may wish to specialize in implementing some elaborate > sensory modality among your sensory input stubs. Code the AudInput module > initially to deal with ASCII keyboard input. If you are an expert at speech > recognition, extrapolate backwards from the storage requirements (space and > format) of the acoustic input of real phonemes in your AudInput system, so > that the emerging robot Mind may be ready in advance for the switch from > hearing by keyboard to hearing by microphone or artificial ear. > > 5. The TabulaRasa loop. > > Before you can create an auditory memory AudMem subroutine for storing input > from the keyboard, you may need to code a "TabulaRasa" loop that will fill > the mental memory of the AI with blank engrams, thus reserving the memory > space and preventing error messages about unavailable locations in the AI > memory. > > 6. MindBoot English +/- Russian bootstrap -- > http://ai.neocities.org/MindBoot.html > > The knowledge base (MindBoot) module makes it possible for the Strong AI Mind > to begin thinking immediately when you launch the more advanced AI program. > Here we stub in the EnBoot subroutine with an English word or two before the > AudMem module begins to store new words coming from the AudInput module. The > EnBoot stub shows us that the first portion of the AI mental memory is > reserved for the innate concepts and the English words that express each > concept. If you use the same Unicode that Perl enjoys to create a Strong AI > Mind in Arabic, Chinese, Hungarian, Indonesian, Japanese, Korean, Swahili, > Urdu or any other natural human language, you will need to create a bootstrap > module for your chosen human language. > > 7. AudMem (Auditory Memory) -- http://ai.neocities.org/AudMem.html > > Into the auditory array that was filled with blank spaces by the TabulaRasa > sequence and primed with some bootstrap content by the EnBoot or MindBoot > sequence, insert some new memories with the AudMem auditory memory module. > Modify the AudInput module to prompt for English words and modify the EnThink > module to display words stored in memory as if they were a thought being > generated in English (or in your chosen natural human language). > > > 8. Speech Module -- http://ai.neocities.org/Speech.html > > The Speech module fetches characters from a starting point in auditory memory > and displays the characters on-screen until a blank space occurs to signify > the end of the word stored in memory. > > > 9. NewConcept Module -- http://ai.neocities.org/NewConcept.html > > The NewConcept module creates a new concept for any unrecognized word in the > input stream, even a misspelled word entered by mistake. In Symbolic AI, each > word of natural language is the symbol of a concept, and as such is the key > to accessing the concept. Of course, a recognized image may also grant access > to a concept. > > > > 10. EnParser English Parsing Module -- http://ai.neocities.org/EnParser.html > > The EnParser (English parser) module does not so much determine the part of > speech of a word of input, but more importantly it assigns to an input word > its grammatical role in the complete phrase being processed during Natural > Language Understanding. > > > > 12. AudRecog auditory Recognition Module -- > http://ai.neocities.org/AudRecog.html > > The AudRecog module for auditory recognition recognizes various forms of a > word, such as singular or plural nouns, or verbs with various inflected > endings. > > > > 13. OldConcept Module -- http://ai.neocities.org/OldConcept.html > > If the AudRecog module recognizes a particular word, then the AudInput module > calls the OldConcept module to create a new instance of the previously known > concept. If a word is not recognized, AudInput calls the NewConcept module to > create a new concept for the word as a symbol. > > > > 14. SpreadAct Spreading Activation Module -- > http://ai.neocities.org/Spreadact.html > > The SpreadAct module for Spreading Activation performs both simple spreading > activation between concepts and also an extremely sophisticated role of > responding to various input queries posed by human users. > > > > 15. EnNounPhrase English Noun-Phrase Module -- > http://ai.neocities.org/EnNounPhrase.html > > The English noun-phrase module selects the most activated noun-concept to be > the subject of a phrase or sentence. > > > 16. ReEntry. > > The ReEntry module is used in the various JavaScript Minds to facilitate the > reentry of an output word back into the AI Mind. > > > 17. EnVerbPhrase English Verb-Phrase Module -- > http://ai.neocities.org/EnVerbPhrase.html > > The English verb-phrase module fetches from memory a verb that has basically > been pre-ordained to be expressed as the verb in a Subject-Verb-Object (SVO) > phrase or sentence. EnVerbPhrase also calls a module like EnVerbGen to > generate an inflected form of an indicated verb. EnVerbPhrase is designed > with a view to calling the VisRecog module to supply the English word for the > visually recognized object of the action of a verb, such as in a sentence > like "I see... (a dog)." > > > > 18. EnAuxVerb English Auxiliary Verb Module -- > http://ai.neocities.org/EnAuxVerb.html > > The English auxiliary-verb module calls auxiliary verbs such as "do" or > "does" for use in the generation of such sentences as a negated idea, such as > "God does not play dice." > > > 19. AskUser Module -- http://ai.neocities.org/AskUser.html > > The AskUser module works in conjunction with the logical InFerence module to > ask a human user to confirm or deny a logical inference being proposed inside > an AI Mind. > > 20. ConJoin Module -- http://ai.neocities.org/ConJoin.html > > The ConJoin module inserts a conjunction during the generation of a compound > thought. For instance, if an AI Mind has two or more higjly activated > subjects of thought, the ConJoin module will insert the conjunction "and" to > join two active ideas together. > > > 21. EnArticle Module -- http://ai.neocities.org/EnArticle.html > > The English article module inserts the article "a" or the article "the" > before a noun in a sentence being generated. > > > 22. EnAdjective Module -- http://ai.neocities.org/EnAdjective.html > > The English adjective module recalls and inserts an adjective during the > generation of a thought. > > > 23. EnPronoun Module -- http://ai.neocities.org/EnPronoun.html > > The English pronoun module replaces a noun with a pronoun. > > 24. AudBuffer Module -- http://ai.neocities.org/AudBuffer.html > > The auditory buffer module stores a word in memory for transfer to the > OutBuffer module for inflectional processing. > > > 25. OutBuffer Module -- http://ai.neocities.org/OutBuffer.html > > The OutBuffer module holds a word in a right-justified framework where the > ending of the word may be modified by a module like the EnVerbGen module for > generating a required English verb-form. > > > 26. KbRetro Module -- http://ai.neocities.org/KbRetro.html > > The KbRetro module retroactively adjusts the knowledge base (KB) of the AI in > response to user input responding to a question from the AskUser module. > > > 27. EnNounGen English-Noun Generating Module > > The English noun-generating module shall modify a singular English noun into > its proper plural form by adding "s" or "es". > > > 28. EnVerbGen EnGlish Verb Generating Module -- > http://ai.neocities.org/EnVerbGen.html > > The verb-generation module operates when the verb-phrase module fails to find > a needed verb-form in auditory memory. > > > 29. InFerence Module -- http://ai.neocities.org/InFerence.html > > The InFerence module engages in automated reasoning with logical inference. > For instance, if the user inputs 'John is a student," the AI may infer the > possibility that John reads books, The AskUser module asks the user, "Does > John read books?" Depending on a "yes" or "no" answer, the KbRetro module > retroactively adjusts the knowledge base (KB), either discarding the > unwarranted inference or by leaving intact a true inference or inserting > "not" into a negated inference such as "John does not read books." > > > 30. EnThink English Thinking Module -- http://ai.neocities.org/EnThink.html > > The English thinking module calls such subordinate modules as the Indicative > module for a declarative sentence or the InFerence module for automated > reasoning. > > > 31. Motorium Robot Motor Memory Module -- > http://ai.neocities.org/Motorium.html > > As soon as you have sensory memory for audition, it is imperative to include > motor memory for action. The polarity of robot-to-world is about to become a > circularity of robot - motorium - world - sensorium - robot. If you have been > making robots longer than you have been making minds, you now need to > engrammatize whatever motor software routines you may have written for your > particular automaton. You must decouple your legacy motor output software > from whatever mindless stimuli were controlling the robot and you must now > associate each motor output routine with memory engram nodes accreting over > time onto a lifelong motor memory channel for your mentally awakening robot. > If you have not been making robots, implement some simple motor output > function like emitting sounds or moving in four directions across a real or > virtual world. > > 32. Volition module for robot free will -- > http://ai.neocities.org/Volition.html > > In your robot software, de-link any direct connection that you have hardcoded > between a sensory stimulus and a motor initiative. Force motor execution > commands to transit through your stubbed-in Volition module, so that future > versions of your thought-bot will afford at least the option of incorporating > a sophisticated algorithm for free will in robots. If you have no robot and > you are building a creature of pure reason, nevertheless include a Volition > stub for the sake of AI-Complete design patterns. > > > 33. The SeCurity module. > > The SeCurity module is not a natural component of the mind, but rather a > machine equivalent of the immune system in a human body. When we have > advanced AI robots running factories to fabricate even more advanced AI > robots, let not the complaint arise that nobody bothered to build in any > security precautions. Stub in a SeCurity module and let it be called from the > MainLoop by uncommenting any commented-out mention of SeCurity in the > MainLoop code. Inside the new SeCurity module, insert a call to ReJuvenate > but immediately comment-out the call to the not-yet-existent ReJuvenate > module. Also insert into SeCurity any desired code or diagnostic messages > pertinent to security functions. > > http://ai.neocities.oprg/AiSteps.html > -- > https://mail.python.org/mailman/listinfo/python-list
Is there a question here? It looks like a pretty involved homework assignment -- Joel Goldstick http://joelgoldstick.com/blog http://cc-baseballstats.info/stats/birthdays -- https://mail.python.org/mailman/listinfo/python-list
