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Rafia asked:
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How does information processing take place in human mind?
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How do you decide whether a given example counts as an 'intelligent action'?
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Different criteria for success for any Artificial Intelligence problems are defined by different
philosophers. Should there be a general criterion for all type of AI products or there should be
separate criteria? What might be the criteria for success?
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The first question is one that a) no one knows anything like the complete answer to, and b) to
understand what is known would require several years of background study. If you can assure me
that you know what, for example, the "postsynaptic density" is and what "IPSP" stands for I might
write you a teeny essay on it... or at least I'd know what readings to refer you to. If you don't know
what those are... you've got lots of study ahead of you. You might start with: Kandel, E. R., and J.H.
Schwartz. Principles of Neural Science. New York, NY: Elsevier North-Holland, 1981.
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As to the second group of questions... 1) you might look up the Turing Test on the web. It's not
generally accepted anymore, but reading about it will be informative. Then read about why it's not
generally accepted.
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2) Yes. And with good reason; no one knows what criteria to apply because, for one thing, no one
really knows what "intelligence" means.
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3) Separate criteria. You might look up "expert systems" for this one.
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4) "Success" at what? Solving a problem? Defining "intelligence"? For an AI program to be
"successful"? Taking the latter, of course you must use different criteria depending on what the
program is supposed to do. Is it supposed to play chess? To model ocean currents? To predict
human behavior? To translate? What is, for example, "success" at the translation of one language
into another? Surely that's different from "success" at theorem proving?
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You have raised hideously complex issues with these questions, and I'd advise some background
reading so that you can understand how to narrow these inquiries down to manageable size. Each of
your questions encompasses enormous bodies of work, which are still very active and which require
study merely to understand, much less to answer anything like these issues.
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Steven Ravett Brown
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