Author: Dann Corbit
Date: 11:36:05 06/04/02
Go up one level in this thread
On June 04, 2002 at 14:28:07, Uri Blass wrote: >On June 04, 2002 at 13:59:46, Dann Corbit wrote: > >>On June 04, 2002 at 10:49:00, Vincent Diepeveen wrote: >> >>>On June 04, 2002 at 08:54:57, José Carlos wrote: >>> >>>What i read in Dann's words is he is more believing in search >>>rather than the knowledge. If that's the case then i think he is >>>wrong. >> >>Chess Tiger shows that search *IS* knowledge. However, it is a different kind >>of knowledge. >> >>There will always be ways to improve the search. There will always be ways to >>improve the eval. Both ways are paths to a better program. To give up one >>either path forever means that your program is not as good as it could be. >> >>Optimze the path. Optimize the eval. Optimize the path. Optimize the eval. >> >>Maybe you are better at optimization of the evaluation function. Quite frankly, >>most programmers do not have your chess knowledge. If anything, they should >>spend more energy in the search. After all, how can they inject a 2500 ELO >>evaluation into their program if they cannot play at 2500? > > >I think that there is a wrong assumption here. > >You assume that the programmer needs to know the evaluation before programming. >It is possible that the programmer may discover ideas about evaluation after >watching and analyzing games of her(his) program. > >I also believe that 2500 players do not know to evaluate in the way that >computers evaluate. > >No 2500 player looks at a position and says: >Ne4 is 0.54 pawns for white when a3 is 0.55 pawns for white so I prefer a3. No. But he knows *why* a3 and Ne4 are both good moves and probably also why a3 is better (if it is!). A lot of chess programmers have to learn that a wrong colored bishop or a bad bishop is not worth 3 points. Or that certain pawn formations are very good and others are very bad. The GM player knows this because he understands the machine of chess.
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