Author: David Eppstein
Date: 22:43:40 02/06/99
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I know that the normal aspiration search windows are usually something like previous search value +/- delta, where delta is a fixed parameter e.g. 1/2 pawn. But has anyone tried setting the window in a more complicated way that incorporates information from the last several searches? One could get an estimate of the variance of scores from search to search, which might help narrow or widen the window in situations where that helps. For instance, maybe in place of delta one could use (some parameter times) the difference between the last two search scores. It's might also be possible that a non-centered window would sometimes be appropriate. I know Bob and others have collected statistics on how often the best move changes in deep searches; are there similar statistics on how much the eval changes and whether there's much correlation between successive changes?
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