Author: Mathieu Pagé
Date: 11:55:00 07/14/05
Hi, I was wondering do someone know of an engine that do some opponent modeling? Has it ever been tried? Is there paper/documentation about such an experimentation ? I don't know to wich level it could be used, but it seem to me that a learning strategie like the one used by crafty for it's opening book could be used on a per oppenent basis. I think this could be proved really efficient against other engines. In particular, such an engine could learn not to be trapped in closed position (so called anti-chess) against some player, but not change is opening theory against other opponents. It could even learn to close the position against stronger computer opponents (Am I dreaming?). Opponent-modeling could also be applied to evaluation function weight tunning. This, however, would require lots of games to be played. One could make it's engine play against another engine X for some weeks and get an anti-engine_X weight set. What are your comments? Is there some documentation avaible about opponent-modeling in computer chess? Mathieu Pagé mathieu.page@gmail.com
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