A game-based approach for designing a collaborative evolution mechanism for unmanned swarms on community networks.
A game-based approach for designing a collaborative evolution mechanism for unmanned swarms on community networks.
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一种基于博弈的方法，用于设计社区网络上无人群体的协作进化机制
DOI：
10.1038/s41598-022-22365-z
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发表时间：
2022-11-07
影响因子：
4.6
通讯作者：
Mei, Dan
中科院分区：
文献类型：
--
作者：
Wu, Zhonghong;Pan, Li;Yu, Minggang;Liu, Jintao;Mei, Dan
智能协同无人机集群作战将是未来主要作战模式，集群内自主协作的机制设计是提升战斗力的关键。随着军事战区概念的不断发展，探索无人集群自主协作的基本特征和模式已成为科学研究和技术应用的焦点。然而，由于无人集群军事的独特属性和作战模式的新颖性，现有研究报道的成果还很少。在本研究中，我们分析了无人集群作战的军事需求，并提出了自主协作的分析框架。然后，对群体进化动力学、基于游戏的群体协作和复杂网络上的协作进化进行了文献综述。接下来，在上述工作的基础上，我们设计了无人群体合作的社区网络，构建了基于多人公共物品博弈（PGG）的协同进化模型。进而，根据“网络”和“模型”，形式化地推导了群体协作的动态演化过程。最后，通过仿真分析相关参数（即群体规模、度分布、成本、倍增因子）对无人群体协作行为的影响。根据仿真结果，给出了集群作战协同管控的合理建议，可为无人集群作战协同机制设计、提高战斗力提供理论参考和决策支持。
Intelligent and coordinated unmanned aerial vehicle (UAV) swarm combat will be the main mode of warfare in the future, and mechanistic design of autonomous cooperation within swarms is the key to enhancing combat effectiveness. Exploration of the essential features and patterns of autonomous collaboration in unmanned swarms has become the focus of scientific research and technological applications, in keeping with the evolving conceptions of the military theatre. However, given the unique attributes of the military and the novelty of the warfare mode of unmanned swarms, few achievements have been reported in the existing research. In this study, we analysed the military requirements of unmanned swarm operations and proposed an analytic framework for autonomous collaboration. Then, a literature review addressing swarm evolution dynamics, game-based swarm collaboration, and collaborative evolution on complex networks was conducted. Next, on the basis of the above work, we designed a community network for unmanned swarm cooperation and constructed a collaborative evolution model based on the multiplayer public goods game (PGG). Furthermore, according to the “network” and “model”, the dynamic evolution process of swarm collaboration was formally deduced. Finally, a simulation was conducted to analyse the influence of relevant parameters (i.e., swarm size, degree distribution, cost, multiplication factor) on the collaborative behaviour of unmanned swarms. According to the simulation results, some reasonable suggestions for collaborative management and control in swarm operation are given, which can provide theoretical reference and decision-making support for the design of coordination mechanisms and improved combat effectiveness in unmanned swarm operation.
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影响因子：
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作者：
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DOI：
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