In the ghost309.pl 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 ghost.pl 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 ghost.pl AGI
Mind.

Human: john writes books for money
Ghost: THE STUDENTS READ THE BOOKS

Human:
Ghost: I AM AN ANDRU

Human: what does john write
Ghost: THE JOHN WRITES THE BOOKS FOR THE MONEY.

We should explain that the ghost.pl 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 ghost.pl 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.

http://www.mail-archive.com/[email protected]/msg02003.html

http://cyborg.blogspot.com/2019/08/pmpj0811.html

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