Author: Ingo Lindam
Date: 07:39:59 07/01/03
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I think there is ofcourse a need for computer programs to evaluate positions as well as for grandmasters. Probably the Grandmasters evaluation of a position is less nummerical than that of a program (sometimes it might be more a feeling), but also it might often be more aim oriented. Interesting about Grahams ideas is to keep the aims in mind. The big aims are ofcourse 1.to win the game or 2.to draw the game (or atleast 3.not loose the game too fast). On the way to that big aims however there are a lot of minor aims to come nearer to the big aim. And it is a legal question to ask whether maximization of the evaluation get's the program nearer to its aim(s) (it should have). [...] >problem with just "winning, losing or drawn" evaluation means that the program >will not know how to converge to a mate because a mate in 100 is a win and a >mate in 1 is a win. Even here some evaluation is needed to inform the program >that a mate in 1 is better than a mate in 100. [...] >Anson Having a score of +1.73 and conserving it within all variations of the search tree doesn't necesserally mean to be on the shortest way to a win. Sometimes it might be better to know a possible sequence of transpositions that e.g. reduce the material advantage just to come into a position where the way to a win is clearer to the player/program. Unfortunately the programs don't care to much about knowing a way to the aim (win), about having a plan. But I still think it should be quiet easy for programs to know all known transpositions and sequences of transpositions and their probability for success to reach an aim, to define an aim and to get possible plans, to know all known plans for all practice relevant, known kind of positions. Ofcourse this makes something more complicated than it seems to be without. But some day in far future it might be a natural way to reach aims that are called not even a dream today. Best regards, Ingo
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