多人不完备信息博弈是一类存在私有信息而出现信息不完备、不对称的多人博弈.以扑克牌游戏这类典型的多人不完备信息博弈为原型提出一般动态博弈模型GDGM.在该模型框架下,提出一种基于MU算法的多人不完备信息博弈算法MMU,并将MMU算法分别与经典博弈算法Paranoid和MCTS结合,消除该算法对经验值的依赖.最后实验从胜率和得分两个角度对算法进行评价.结果表明,结合了经典博弈算法Paranoid和MCTS算法的PN-MMU和MT-MMU算法可有效处理以扑克牌游戏为代表的多人不完备信息博弈问题,并且与PN-MMU相比,MT-MMU具有更好的博弈能力. Multiplayer incomplete information game is a kind of multiplayer game with incomplete information and asymmetric information in the presence of private information.The general dynamic game model GDGM is proposed by taking the typical multiplayer incomplete information game such as poker game as prototype. Under the framework of the model, a multi-person incomplete information game algorithm MMU based on the MU algorithm is proposed, and the MMU algorithm is combined with the classical game algorithm Paranoid and MCTS respectively to eliminate the dependence of the algorithm on the experience value.Finally, The results show that the PN-MMU and MT-MMU combined classical game algorithm Paranoid and MCTS can effectively deal with the multi-person incomplete information game represented by poker game, Compared with MMU, MT-MMU has better gaming ability.