Abstract: The research status of current intelligent decision-making method in wargame is sorted out and summarized, eight difficulties for carrying out the task-level intelligent decision-making method in wargame are specified. The intelligent gaming framework, the intelligent strategy generating and optimizing framework, and the multi-agent intelligent strategy co-evolutionary framework of task-level wargame are designed based on agent positioning, information flow and knowledge transfer and other issues. Such four key issues as situation information data integration, asynchronous strategy distributed learning optimization, task order generation based on semantic template, multi-agent training camp gaming schedule in high-dimension long time sequence are analyzed. The basic resolution scheme is provided, the technical points and basic lines for carrying out the intelligent decision-making research of task-level wargame are pointed out, which provides the beneficial reference for the agent design of the subsequent task-level wargame.