Author: Stuart Cracraft
Date: 11:03:48 01/02/98
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Perhaps not directly related but I'll share this anyway... My experience in adding knowledge to the evaluation function and its relation to test results is that pure tests like Win-at-Chess and other tactically-based tests, including rating tests that are more tactical (like Kaufman's) suffer for more evaluation knowledge but that non-tactical tests may benefit. A recent result was that correcting some pawn structure logic in a program that was mis-evaluating passed/doubled/isolated pawns dropped the Win-at-Chess score by about 2.66% in total problems solved but raised the Louguet rating by 45 ELO points. At the same time the Louguet result went up 45 points the Kaufman result went down 24 points. This result came by making only these changes: 1. correctly evaluate passed pawns based on rank (previously, no passed pawn logic) 2. correctly evaluate doubled pawns (previously, penalized 2 pawns on file, but ignored more than 2) 3. correctly evaluate isolated pawns based on file (previously did not take file into account.) I'd recommend using extensive positional/endgame tests, not just tactical suites. --Stuart
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