![]() ![]() This page focuses on the traditional way considering explicit features of a chess position.īeginning chess players learn to do this starting with the value of the pieces themselves. Recently, there are two main ways to build an evaluation: traditional hand-crafted evaluation (HCE) and multi-layer neural networks. In practice, however, we do not know the exact value of a position, so we must make an approximation with the main purpose is to compare positions, and the chess engine now must search deeply and find the highest score position within a given period. If we could see to the end of the game in every line, the evaluation would only have values of -1 (loss), 0 (draw), and 1 (win), and the chess engine should search to depth 1 only to get the best move. Wassily Kandinsky - Schach-Theorie, 1937 Ī heuristic function to determine the relative value of a position, i.e.
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