Abstract
Evaluation function is one of the core components of the computer game system. The traditional way to build evaluation function is usually to use a number of features on the board extracted by human, according to experience and game rules, which gives a set of parameters, and design a static linear evaluation function to calculate the evaluation value of current situation. This paper proposes a method to dynamically adjust and optimize the parameters in the evaluation function by least mean squares, and implements a dynamic evaluation function. Experiments based on Surakarta chess show that the method of dynamic evaluation is effective.
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