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From: markh@csd4.csd.uwm.edu (Mark William Hopkins)
Newsgroups: comp.ai.neural-nets
Subject: Re: A neural net who plays chess
Message-ID: <6829@uwm.edu>
Date: 8 Oct 90 23:58:34 GMT
References: <6758@uwm.edu> <62519@iuvax.cs.indiana.edu>
Sender: news@uwm.edu
Reply-To: markh@csd4.csd.uwm.edu (Mark William Hopkins)
Organization: University of Wisconsin-Milwaukee
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In article <62519@iuvax.cs.indiana.edu> dave@cogsci.indiana.edu (David Chalmers) writes:
>...  In fact, your proposal doesn't incorporate any
>feedback from wins and losses, so playing games doesn't serve any purpose
>at all (except perhaps to confine the training of evaluation to a "reasonable"
>portion of position space)...

It wasn't made explicit, but the search program (where the rules and winning,
losing and draw conditions are stored) provides the feedback to the evaluator.