Author: Omid David Tabibi
Date: 17:52:01 11/23/02
Go up one level in this thread
On November 23, 2002 at 20:00:15, Tony Werten wrote: >On November 23, 2002 at 11:11:16, Christophe Theron wrote: > >>On November 23, 2002 at 09:22:37, jefkaan wrote: >> >>>oops, wasn't finished yet.. >>> >>>>are done by using the results of the positional eval >>>>to prune the q-search, >>>and there using only material eval >>> (haven't tried it out yet, and wouldn't >>>know how to do it, but it's only an idea, >>>you know.. to explore options of >>>more effective branch factor reducements >>>and efficient programming (besides >>>lousy solutions as inline assembler >>>and bitboards.. >>>:) >> >> >> >>Yes Chess Tiger does much more pruning than known (published) techniques. >> >>I think other top programs do it also. >> >>I still fail to see why the efficiency of an algorithm depends on what your >>QSearch does. >> >>If your pruning algorithm is good, it will increase the strength of the program >>regardless on how good your QSearch is. >> >>If your QSearch is smart, then it will increase the strength even more. >> >>I don't like the idea that some algorithms that have almost nothing to do with >>each other would have such an influence on each other. It is indeed possible and >>it probably happens all the time, but it's hard to work with such hypothesis in >>mind. >> >>I think it's better to first assume that the kind of QSearch you do will not >>interfere with the quality of the pruning algorithm used before the QSearch. >> >>If your QSearch sucks, it's not because you are doing a lot of pruning in the >>"full width" part of the search. It's because it sucks. > >The paper does prove that the more your (q)search sucks, the better your pruning >algoritm seems. But that's not really news. > Does it prove that?! No, it's just my impression based on the data gathered so far. Maybe a reduction of 2 (instead of 1) in case of fail-high report, will work better in programs with heavy extensions and quiescence. >Tony > >> >> >> >> Christophe
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