Application Mode Research on Hybrid Intelligence Wargame
Wargame as a tool,has vast applications in training,command&control,and combat research domains.Traditional wargame technologies greatly rely on human wisdom in the loop.Its low efficiency makes it impossible to cover the various possible situations in real combats.Deep reinforcement learning technology,widely researched in re-cent years,can only play the role of the intelligent blue army below the tactical level in training systems,because it can neither adapt to the complexity of theater-level decision-making,nor integrate the red team commander's wisdom.This paper proposes a hybrid intelligence wargame application mode,which integrates human wisdom and AI models trained by deep reinforcement learning algorithms.It has applications in situation evolution prediction and replay anal-ysis,COA(course of actions)development&analysis,and so on.Combined with a typical scenario,a case study and concept verification have been carried out,which has a certain reference value.
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