Cyborg AI Minds programmed to think in memory of the hundreds of murdered Chinese Tiananmen June 4th demonstrators are a true concept-based artificial intelligence with natural language understanding, simple at first and lacking robot embodiment, and expandable all the way to human-level intelligence and beyond. Privacy policy: Third parties advertising here may place and read cookies on your browser; and may use web beacons to collect information as a result of ads displayed here.

Sunday, August 11, 2019


AGI Roadmap: Thinking with Prepositions

In the AI we have introduced a new group of transfer-variables designated as $px1 and $px2 and $px3 so that the EnNounPhrase() module may detect linkage from a candidate-noun to a preposition and inspect immediately the flag-panel of the indicated preposition in order to latch onto $px1 as the conceptual time-point of the object of the preposition. Then in the EnPrep() English-preposition module we plan to use the briefly immutable $px1 time-point value to fetch the object of the preposition from memory and speak it as part of an idea being recalled from memory. We were trying to use other variables for the same purpose but they were not immutable; they were loaded with transient values during the though-process of the AGI. So now let us go back into EnPrep() and code the fetching of the direct object of the preposition. We did so, and it worked the first time. We had the following conversation with the AGI Mind.

Human: john writes books for money


Human: what does john write
We should explain that the AGI knows only that "students read books", not John's books in particular. Mentioning books to the AGI causes it to recall its knowledge that "students read books". When we query the AGI with the input of "what does john write", the SpreadAct() spreading-activation module inhibits the interrogative prounoun "what" while activating the concepts of "john" and "write". The response embedded in conceptual memory includes the linkage from the concept of "books" to the prepositional phrase "for money". The EnArticle() module for the English articles "a" and "the" inserts articles somewhat haphazardly within the output of the AGI.

The new AI functionality of a machine intelligence thinking and conversing with prepositional phrases became possible when we recently expanded the conceptual flag-panel from fifteen associative tags to twenty-one associative tags, including new flags for the control of noun-declensions in Latin or Russian and for thinking with such parts of speech as adjectives, adverbs, conjunctions and prepositions. As we build up the ability to think with these linguistic components, each mid-AGI Mind becomes capable of more and more complex or complicated thought. As we make progress on the AGI RoadMap towards Artificial General Intelligence, we approach a point where Darwinian survival of the fittest comes into play, because among multiple enterprises working on AGI, some will go down the right path and some will enter roads where all hope must be abandoned.

Saturday, May 25, 2019


Converting ancient Latin artificial intelligence into modern Russian AI.

The conversion of a JavaScript English-language AI into a Latin AI began on Thursday 2019-04-18 in April of 2019. Inspiration came from "Die Traumdeutung" where Sigmund Freud intones "Flectere si nequeo superos, Acheronta movebo." If one cannot bend the netgods of AI, move the mindset of Latin and Greek scholars.

A minor challenge in coding Mens Latina was the lack of an explicitly stated subject for many verbs in Latin, which occurs also in Russian. The solution was to skip three points in time-indexed memory to make room for the creation of a hidden concept to fill in for the unstated but understood subject of a verb.

Solving the AI-hard problem of the natural language understanding of a Latin or Russian sentence regardless of its syntactic word-order required waiting for the input of an entire clause before declaring subjects and objects on the basis of inflectional word-endings.

The conversion of artificial intelligence in Latin language into artificial intelligence in Russian language began yesterday on Friday 2019-05-24 in May of 2019.