Research On Estimation Method Of Computer Game

Chinese chess is representative of chess game and belongs to the discrete event dynamic systems. The analytic technique and solution method of the computer Chinese chess game can be used in discrete event dynamic systems. Therefore, the computer game affords an advantaged platform for the discrete event dynamic systems.Detailed analysis to traditional static evaluation and search methods are made in this paper based on researching the computer game platform. According to the fact that the static evaluation and search methods used in computer Chinese chess game currently could not reflect the strength trend of game players objectively and accomplish the strategic purpose of game players, an optimization evaluation method based on game situation to complete the method innovation of game evaluation is proposed.First, percentage estimation method is put forward to avoid estimation faults in which total value of both sides is used in the estimation.Second, the optimization evaluation method is presented based on analysis of the Chinese chess game with matrix, which integrates game situation into chess game and can adjust the dynamic evaluation of chess game. At the same time, the idea to optimize the subsection evaluation function is presented, and the neural network to set up an optimization model to get the dynamic value of chessman is used.Finally, it is proved that the method has preferable function to look for better value of chessman by actual combat on the plat of the computer Chinese chess. This method improves the accuracy of valuation and the performance of the computer.This method has important referenced value in solving the discrete dynamic countermeasure problems. It is of great practice value in researching the computer Chinese chess game.