A game-based approach for designing a collaborative evolution mechanism for unmanned swarms on community networks

作者：Zhonghong Wu, Pan Li, Minggang Yu, Jintao Liu, Dan Mei · 发表于：Scientific Reports · 年份：2022 · DOI：10.1038/s41598-022-22365-z · 被引用次数：22 · 研究领域：Evolutionary Game Theory and Cooperation、Mathematical and Theoretical Epidemiology and Ecology Models、Evolution and Genetic Dynamics

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 simulati...