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Computer wargame can simulate the military actions of two or more opposed parties, which provides a decision-making background and experimental environment close to the real war for the research of military intelligent decision-making. With the increase of the type and number of controlled entities, the intelligent behavior decision-making will face great challenges. This paper proposes the behavior decision-making algorithm by complementary knowledge and data for group-level wargame which has multi entities (about 50), including decision-making grouped as entity type, operational target allocation guidance, parallel calculation of position evaluation. Then, we design the framework of group-level wargame artificial intelligence (AI) technology, and realizes it. The wargame AI integrates knowledge, data and learning, has the advantages of less design workload, strong migration ability and flexible decision-making. [ABSTRACT FROM AUTHOR]