基于多元公共品演化博弈的无人集群合作演化机制

针对控制规则失效下的无人集群自主协同问题,提出了一种基于多元公共品演化博弈的无人集群合作演化机制。首先分析无人集群自主协同需求,在愿景驱动规则下,构建多元公共品演化博弈模型。在此基础上,理论推导出模型的平均丰度函数,并仿真计算成本、收益系数、愿景水平三类参数分别对平均丰度的影响。最后,结合案例研究参数变化对集群合作行为演化的作用机理,并给出合理化建议,为相关理论向实际应用转化提供有意义的探索。

Cooperative evolution mechanism of unmanned cluster based on multi-player public goods evolutionary game

To solve the problem of the autonomous collaboration of unmanned cluster under control rule failure, a cooperative evolution mechanism of unmanned cluster based on multi-player public goods evolutionary game is proposed. It starts with the requirement analysis of cooperative evolution in the unmanned cluster. And, the evolutionary game model of the multi-player public goods based on the aspiration driven rule is established. Then the average abundance function is constructed by theoretical derivation. Furthermore, the influence of cost, multiplication factor and aspiration level on the average abundance is simulated. Finally, the mechanism of the parameter change on the evolutionary cluster cooperation behavior is revealed via case study, and the rationalization proposals are suggested to provide a meaningful exploration for the transformation from theory to application.