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- From: krulwich@zowie.ils.nwu.edu (Bruce Krulwich)
- Subject: Re: Games and genetic algorithms
- In-Reply-To: pja@neuron.cis.ohio-state.edu's message of Mon, 23 Nov 1992 20:48:18 GMT
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- Organization: The Institute for the Learning Sciences, Evanston, IL
- References: <1992Nov11.001553.12600@samba.oit.unc.edu>
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- Date: Mon, 23 Nov 1992 21:34:49 GMT
- Lines: 30
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-
- Intuitively, does anyone really think that strategies for game playing are
- learned in a random-permutation evolutionary sort of way? My intuition is
- that people employ alot of reasoning, such as explanation, in learning new
- strategies and in modifying old ones.
-
- Think, say, of a typical strategy in game-playing, such as the "fork" in
- tic-tac-toe of chess. It doesn't make sense to me that this would be learned
- through random permutations, rather through a player explaining the ways in
- which the enabled moves interact with the opponent's ability to respond.
-
- For such an explanation-based approach to learning game strategies, see the
- following papers:
-
- "Plan debuging an intentional system" (IJCAI91)
- Collins, Birnbaum, Krulwich, and Freed
-
- "Determining what to learn in a multi-component planning system"
- (CogSci91) Krulwich
-
- They can be FTP'ed anonymously:
-
- Site: ftp.ils.nwu.edu
- Login: anonymous
- Pass: anonymous
- Dir: pub/papers
- Files: gc_ijcai91.ps.Z and bk_cs91.ps.Z (respectively)
-
-
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-