Here is an article about RPI's attempt to pass a slightly modified version
of the turning test using supercomputers to power their "Rascals" AI
algorithm.

http://www.eetimes.com/news/latest/showArticle.jhtml?articleID=206903246&pri
ntable=true 

The one thing I didn't understand was that they said their "Rascals" AI
algorithm used a theorem proving architectures.  I would assume that that
would mean it as based on binary logic, and thus would not be sufficiently
flexible to model many human thought processes, which are almost certainly
more neural net-like, and thus much more probabilistic.

Does anybody have any opinions on that.

Ed Porter

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