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Study on the Attacking Intelligent Decision-Making Technology Based on the Game Theory

机译:基于博弈论的攻击智能决策技术研究

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摘要

This paper focuses on the game decision-making technology for the multi-agent confrontational environment. A new mission decision-making method of multi-agent cooperative attack on the multi-object is elaborated based on two-person non-cooperative complete information static game model. The proposed method is implemented into the intelligent decision-making technology for the two sides' attack via the Nash equilibrium optimization. A case study is analyzed, which results illustrate that this method can realize the intelligent forecasting and multi-agent decision-making, as well as confirm the feasibility of this technology in the confrontational intelligent decision-making.
机译:本文重点介绍多智能经纪对抗性环境的博弈决策技术。 基于双人非合作完整信息静态游戏模型,详细阐述了对多目标的多代理协作攻击的新的任务决策方法。 该方法通过纳什均衡优化实现了双方攻击的智能决策技术。 分析了案例研究,这结果说明了这种方法可以实现智能预测和多智能经纪决策,并确认这项技术在对抗智能决策中的可行性。

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