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| Lightweight Issues of Swarm Intelligence Based Multi-Agent Game Strategy |
| ZENG Jun-Fang1 MOU Jia1 LIU Yu1 |
1． Institution of Automation, Chinese Academy of Sciences, Beijing 100190, China
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Abstract With the application of intelligent technology in future war, multi-agent system, such as intelligent missile group and UAV group, will be put into operation. It is required for agents to have the ability of rapid operational decision-making. Due to the limited computing resources, small memory space and limited data transmission of unmanned systems, the algorithms to realize multi-agent autonomy, cooperation and group decision-making should be lightweight and minimization cost. To face the challenges of multi-agent collaborative decision-making, this paper proposes a reinforcement learning swarm intelligence game model based on deep network, discusses the key technologies involved, and innoratively proposes lightweight ideas from four key links of OODA decision cycle.
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Fund:Supported by National Defense Basic Scientific Research Program (JCKY2019203C029)
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2020, Vol. 6 
