Author: Peter Fendrich
Date: 11:38:41 08/20/98
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On August 20, 1998 at 12:23:33, Torsten Schoop wrote: >Hi all, > >does anyone know why NN backgammon programs play very well (TD-Gammon, >JellyFish, Snowie)but the NN chess playing programs do not? > >Ciao >Torsten In my opinion it's all about the "degree of freedom". I hope this expression make sence in english... From my experience at least the classical backpropagation nets are quite unsensitive to this up to a certain point. After that the net performance drops considerably and it doesn't help to extend the number of nodes or to insert more layers even if you have all the training material in the world. Finally, I think it's much easier to find a well covering set of training patterns in Backgammon compared to chess. I can't see how it's possible to represent the chess domain in a net, covering all or at least most of the different aspects of chess positions that there is. All chess rules combined with tactical issues combined with positional issues in different phases of the game is too much! Another answear could be that they just haven't found the right net types and topologies, yet... :) //Peter
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