Re: Mind Models

Article View: sci.cognitive

Article #696

#696

From: Oliver Sparrow
Date: Thu, 06 Oct 1994 15:32

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I am amazed that simple neural nets can learn boolean logic quite effectively.
I have been playing with one over the weekend and it managed to handle the
equivalent of quite a deep array of NAND, AND and OR gates. This could
in principle, offer the thresholds and tapers against which other nets could
learn a fuzzy approach. The issue of objective function (ultimately, what
are these things trying to emulate) can be seen as an arbitrary falling into
one of a limited number of poles, followed by a genetic-algorithm like pruning 
of networks which fail to establish enough client or descendant groups. A lack 
of reinforcement at a somewhat higher level of abstraction than a Hebbian net,
however. 
_________________________________________________

  Oliver Sparrow
  ohgs@chatham.demon.co.uk

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From: ohgs@chatham.demon.co.uk (Oliver Sparrow)
Path: arc1-ca.pugleaf.net!bga.com!news.sprintlink.net!demon!chatham.demon.co.uk!ohgs
Subject: Re: Mind Models
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