Abstract:

In view of the problems of the traditional combat disposition method, such as extensive planning granularity, poor dynamic adjustment ability and complex improvisation adjustment process,focus on the combat squad level,the potential of artificial intelligence technology to solve the above problems is analyzed and the path selection of man-machine cooperation relationship as “Man-in-the-loop” is given. On this basis,in order to realize the dynamic planning of team assignment and task-oriented flexible adaptation, this paper presents an architecture of combat allocation system based on man-machine hybrid intelligence, and designed its function mode,which is parallel reasoning and optimal recommendation based on the military metaverse. At the same time, the process of by which it works and the expected ability are analyzed. The simulation results show that the proposed method is effective in the decision-making process of task matching, function combination and mapping.The relevant research results can provide theoretical support and technical foundation for the research and engineering construction of intelligent combat allocation strategy and commanding decision-making system oriented to squad level.

Key words: combat allocation planning, human-machine hybrid intelligence, military metaverse, parallel deduction, command decision-making