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Article #8593

Re: Can Machines Think?

#8593
From: Mark William Hopkins
Date: Thu, 04 Jan 1990 21:48
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In article <35@tygra.UUCP> jpp@tygra.UUCP (John Palmer) writes:
* My point: We are not going to solve the hard problems of AI by 
* simply developing programs for our digital computers. We have to
* develope hardware that has a strong structure/function relationship.

Don't let biological precedent mislead you into this conclusion.  Nobody ever
said that nature has the best of what is possible.

If digital systems and quasi-analogical systems such as neural nets have
complimentary strangths, then combining a digital computer and neural net into
one integrated system (where each tackles those tasks it can best handle) will
undoubtedly create a system capable of more than either is by itself ... and
probably capable of much more than biological systems ever were.

I can already see places where neural nets can be used in conjunction with
a classical problem-solving AI program (e.g. to "learn" evaluation functions)
... and these are just simplistic applications.
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References: <31821@iuvax.cs.indiana.edu> <ebfl02Ef76Hs01@amdahl.uts.amdahl.com> <32029@iuvax.cs.indiana.edu> <1037@ra.stsci.edu> <85217@linus.UUCP> <35@tygra.UUCP>

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Path: arc1-ca.pugleaf.net!utzoo!utgpu!jarvis.csri.toronto.edu!mailrus!cs.utexas.edu!uwm.edu!csd4.csd.uwm.edu!markh
From: markh@csd4.csd.uwm.edu (Mark William Hopkins)
Newsgroups: comp.ai
Subject: Re: Can Machines Think?
Keywords: Neural Networks and Computation
Message-ID: <1785@uwm.edu>
Date: 4 Jan 90 21:48:25 GMT
References: <31821@iuvax.cs.indiana.edu> <ebfl02Ef76Hs01@amdahl.uts.amdahl.com> <32029@iuvax.cs.indiana.edu> <1037@ra.stsci.edu> <85217@linus.UUCP> <35@tygra.UUCP>
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Reply-To: markh@csd4.csd.uwm.edu (Mark William Hopkins)
Organization: University of Wisconsin-Milwaukee
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