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|    Is there any "general" AI theory coverin    |
|    07 May 08 10:57:58    |
      XPost: comp.ai.edu       From: ondra@dynawest.cz              Hello,              I am a student of IT science caught by the AI and willing for more knowledge.       I hope I'll find some soulmates here.              I have learned about most types of neural networks, fuzzy systems, prolog &       lisp, functional programming, genetic algorithms, evolutionary programming,       etc.              But all of it seems to be just "inspired" by the nature, and is based on       mathematical models. Most of them has very narrow spectrum of problems it can       solve, compared to what AI is going to achieve as it's final goal (?) -       universal pondering, cogitating        system.              I'm not going to ask dumb questions like "how big the NN should be to learn it       think" and such. My question is:              Is there some AI theory ( or idea / area of research aiming to create a       theory) which would cover most currently known concepts and use them together?       What about some fuzzy graph-like database of n-tuples holding all knowledge of       an intelligent system, perhaps using neural networks to create the fuzzy       relations and to perform tranformations of both short-term knowledge (aka.       cogitation) and long-term        knowledge (learning, memorizing, creating memories) ?              Is there some such research?              I accept any references; I have a partial access to Springer, IEEE, and such.       It may be a frequent question, but in the flood of information trash all over       the internet, I was not able to find something valuable.              Thanks,       Ondra Zizka              [ comp.ai is moderated ... your article may take a while to appear. ]              --- SoupGate-Win32 v1.05        * Origin: you cannot sedate... all the things you hate (1:229/2)    |
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