Abstract: Artificial intelligence has been widely applied to computer games. A hamming neural network games model was proposed for Tetris game. In this model, a pattern matrix was created according to blocks of different position on a given blocks map. 〖JP3〗The falling block acted as a waiting match block. Pattern match was performed in the feedforward layer of hamming neural network to obtain the hamming distance among patterns. The optimistic position and shape were achieved in the recursive layer of hamming neural network. This module and its game were realized using MATLAB to cumulate automatically blocks. Compared with other evaluation function and algorithms, this model has its own generic characters and can be adapted to modeling of other computer games.

Key words: artificial intelligence, neural network, game, pattern recognition