On Jun 2, 2016 10:29 AM, "Obrst, Leo J." <lob...@mitre.org> wrote:
>
> John, I understood this program to be about mathematical limits/foundations of machine learning in AI.
See e.g. The SEP article on Formal Learning Theory :
http://plato.stanford.edu/entries/learning-formal/
For misapplications of Formal Learning Theory see Noam Chomsky. ( http://norvig.com/chomsky.html )
I think we probably all have opinions on the grander vision/epistemology behind these questions, as Simon indicates. Often it is the same rationalist vs. empiricist, Apollonian vs. Dionysian, neat vs. scruffy, symbolic vs. stochastic, theory vs. practice, science vs. engineering, explanation vs. description, etc., stances from time immemorial. Name your bifurcation.
Thanks,
Leo
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Leo J. Obrst and the rest:
Because you asked: My bifurcation -- Reaction vs. Anticipation. The first describes physical interaction. It is the quantity/number domain. Nomothetic: subject to law. Deterministic. Anticipation describes interaction pertinent to living processes. It is the meaning domain. Idiographic: Gestalt. Non-deterministic.
Mihai Nadin
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On 6/6/2016 2:51 PM, Gary Berg-Cross wrote:
It is one of those examples that used a very constrained game problems
and can be learned without having to master semiotics or
the interactions of many factors such as in the real world. In other
words a game.
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I think more generally it’s a kind of compiling that humans do, not just with games. Some are not necessarily “named”, but just accessed.
Thanks,
Leo
From: ontolo...@googlegroups.com [mailto:ontolo...@googlegroups.com] On Behalf Of Gary Berg-Cross
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