585
edits
Changes
no edit summary
a [https://en.wikipedia.org/wiki/Heuristic_(computer_science) heuristic function] to determine the [[Score|relative value]] of a [[Chess Position|position]], i.e. the chances of winning. 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. 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.
Recently there are two main ways to build an evaluation: traditional and [[Neural Networks]]. Below will focus on the traditional way.
Beginning chess players learn to do this starting with the [[Point Value|value]] of the [[Pieces|pieces]] themselves. Computer evaluation functions also use the value of the [[Material|material balance]] as the most significant aspect and then add other considerations.
