Author: Harald Faber
Date: 05:22:08 07/24/01
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On July 24, 2001 at 07:48:06, Tony Hedlund wrote: >On July 24, 2001 at 05:17:48, Harald Faber wrote: > >> >>For Tony: Do you reset the weights in the opening book before you start new >>matches or do you take over the learned move preferences from former matches? > >I don't reset the opening book. Aha! This is one of the most important statements I have read since months. >But for the matches I now play it doesn't matter. In the first match, Deep Fritz >- Tiger 14 CB 20-20, DP was on my "left computer". In the present match, >Gambit Tiger 2 CP - Deep Fritz 18-21(so far), DP is on my "right computer". So >Deep Fritz didn't learn anything from Tiger 14 CB. But in the next match, Gambit >Tiger 2 CP - Tiger 14 CB, both programs have had the possibility to learn from >Deep Fritz. It is not only that DeepFritz cannot have learned from Tiger 14 to use it for the current match, but DeepFritz *already* has learned from former opponents. So if you play DeepFritz (or any other program) which has learned from say 100 games, versus a new entry, the new program definitely has a disadvantage because it has no learned values. >So in that sence we honours the best learner, which probably also is >the best program. Uhh, IMO this is nonsense. Oh, sorry, yes, it is the best *program*, but not the strongest *engine*. I don't deny that learning also counts to a program like the opening book, but at the moment I see a much too high value for effective bookleraning. One might fear that in near future several programmers will concentrate on *very* effective booklearning (Hi Christophe, how far is yours?) instead of improving the engine. Please prove me wrong... >Tony
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