I felt that my comments on algorithmic synthesis were useful.  We can
imagine an AGI program that does not understand much about a certain object
(of thought) becoming aware of the possibility that it might be used in a
synthesis if it was aware of a feature of the object which it thought might
be useful when strongly bound or associated with another object.  However,
this case is like the many traditional AI examples which seem so
theoretically sound but which are much more difficult to use in actual
cases.  For example, suppose that we knew someone was fast with an
answer.  Then,
our AGI program might deduce that he or she should run in a foot race that
we had been talking about (if it knew that we were looking for someone fast
to race for our team).  So it becomes obvious that this method, which is a
good one, is fraught with the usual complications.  So before the program
assumed that the synthesis was a sound one it would have to examine if
being fast with an answer was useful in running a foot race.  It would also
have to examine if there were costs that might interfere with the utility
of the synthesis.  The problem with these complications is, of course, that
they might have their own complications.  It is one thing to discover that
an actual process can be categorized as a kind of process but it is another
thing to be able to use the different variations of that kind of processes
effectively.  And as the program gained more information about different
kinds of things it might have to consider a number of ‘philosophical’
considerations concerning the subject which might or might not be useful to
its analysis.


Anyway, this synthesis is the basis of discovering and using an ‘objective’
which can be correlated with a goal or a subgoal.  So it truly is an
important method.  And any example of a creative application of a concept
to some other situation involves a stage of synthesis. As long as future
AGI programs are written to try to evaluate how well a feature of an
‘object’ might be applied to a situation where the feature might be used
effectively then this process of algorithmic synthesis would be perfectly
feasible.

(One of the interesting things is that it might be used in a completely
artificial language where features of 'objects' could be annotated.)



Jim Bromer



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