I recently advanced the idea that more complicated grammars could be
taught to a program that learned incrementally, (through trial and
error), by first teaching it simpler grammars.  How might this work?
This instruction would be associated with particular statements, so
the grammars would be acquired as it learned about specific 'objects'
of reference.  But, a particular statement might refer to objects of
generalization as well as specific objects.  For example, 'my car'
refers to a specific car, 'the car' can refer to some specific car
which is not fully specified (by the phrase), so it is a little like a
variable that refers to 'some car', and the term 'a car' usually
refers to a car which is not going to be fully specified.  These
simple syntactic distinctions are not consistently upheld in natural
language and that is part of the problem, but I am just using them as
examples.  Further examples of syntactic markers can be found in early
AI.  The phrase, 'is a' can often refer to a higher level of
generalization which might be used as a category.  'A cat is an
animal' is an example.  The term, 'has a', also used in early AI, is
often a way of denoting that some object of reference has some
characteristic or property.  There were many problems with the
overly-simplistic use of syntactic markers.  One is that they are not
used consistently and the second is that the statements in which they
appear are not usually universally true (which makes logical deduction
problematic).  'A leopard has spots' can be true, but I have a
specific memory of a black leopard that I saw (because it made me
think of a much larger version of a black Burmese house cat that we
had) that did not have spots.  Since my AI / AGI program would be
designed to look for common words that can be found within different
kinds of sentences (and text) it will be able to detect potential
candidates that might be used as generalizations in more complicated
sentences.

It is my feeling that by using previously acquired simple grammatical
forms I should be able to direct my program to be able to effectively
use the relative generalization level of the sentences that I would
use with it. And since I am designing the program to look for reason
based reasoning, I will also be able to use simpler grammatical forms
to emphasize relations that can be tied together by true reasoning.
And I will also be able to use simpler grammatical forms to direct its
attention to the connections of anaphoric-like relations in the text.

I realize that I haven't convinced many of the people who will read
this, but that is not my interest.  I am trying to give the few people
who might actually be interested some insight into what I am working
on.  I should have some more substantial examples, whether they work
or not, sometime next year.


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AGI
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