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An evaluation function, also known as a heuristic evaluation function or static evaluation function, is a function used by game-playing programs to estimate the value or goodness of a position in the minimax and related algorithms. The evaluation function is typically designed to prioritize speed over accuracy; the function looks only at the current position and does not explore possible moves (therefore static). ==In chess== One popular strategy for constructing evaluation functions is as a weighted sum of various factors that are thought to influence the value of a position. For instance, an evaluation function for chess might take the form * c1 * material + c2 * mobility + c3 * king safety + c4 * center control + ... Such as * f(P) = 9(Q-Q') + 5(R-R') + 3(B-B'+N-N') + (P-P') - 0.5(D-D'+S-S'+I-I') + 0.1(M-M') + ... in which: * Q, R, B, N, P are the number of white queens, rooks, bishops, knights and pawns on the board. * D, S, I are doubled, backward and isolated white pawns. * M represents white mobility (measured, say, as the number of legal moves available to White). 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Evaluation function」の詳細全文を読む スポンサード リンク
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