Research based on decision classes of military chess game

Computer game is a classic research field of Artificial intelligence, its history is almost as long as Artificial intelligence. Military chess is a kind of computer game of incomplete information and position information of chess pieces are uncharted. Game trees' branching factor of military chess is huge and its searching space is big. So the method of game tree isn't used in this paper. The probability table algorithm is adopted in this paper. Firstly, basic steps are generated in this algorithm, then the current state can be assessed and found timely, at last, superiority of this algorithm is proved in national competition.