Author: Dan Homan
Date: 10:04:34 03/26/98
In the learning debate that has been raging the last week or so, several people pointed out that humans learn and change their style of play when facing a known opponent. This got me thinking about trying this with my program, which plays on FICS. It wouldn't be very hard to create a 'profile' for every player who plays my program and store information about the effectiveness of certain openings (and other things, as I think of them). This profile could then be loaded when my program faces that player again, and the learned information could be put to good use. General book learning could also be done, of course, but this seems like it would accelerate a programs ability to adapt to particular opponents. It also might make it quite interesting for the humans, knowing that the program would try to exploit their particular weaknesses. Has anyone tried this? Any pitfalls to look out for? - Dan
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