基于演化博弈的社团网络无人集群协同机制

Cooperative evolution mechanism of multiclustered unmanned swarm on community networks

智能化协同的无人集群作战日益成为一种重要的作战方式,机制设计则是集群自主协同得以实现的重要途径.结合无人集群作战的组织规律与业务逻辑,探索自主协同的特点与规律,已成为当前军事学领域研究焦点之一.本文首先剖析军事需求,提出无人集群自主协同行为分析框架,包括群智涌现、信息网络构建、协同机制设计;其次,结合分析框架,针对群体系统动力学、基于博弈的群体协同、复杂网络上的合作演化对集群协同领域国内外前沿研究展开综述;进而,设计无人集群社团信息网络,构建基于多元公共品演化博弈的集群合作演化模型,并给出社团结构上集群的演化动力学过程;最后,仿真分析集群规模、网络特性、成本及收益等相关参数对集群协同行为的影响,并给出集群作战中协同管控的方法.所得结论,可以为无人集群作战协同模式设计和战斗力生成提供理论借鉴和决策支持.

Intelligent cooperative unmanned swarm operation is the main form of future war. Mechanism design is the fundamental way to realize autonomous cooperation and the key to generating combat effectiveness. Combined with the military law and business logic of unmanned swarm operation, exploring the essential characteristics and laws of autonomous cooperation has become the focus of scientific research and technology application with the characteristics of the times. This study analyzes military requirements and proposes the basic framework of autonomous cooperation of unmanned swarm, including the emergence of swarm intelligence,information network construction, and collaborative mechanism design. Based on the framework, the research on the frontier is then summarized in terms of the dynamics of swarm system, game-based swarm collaboration, and the cooperative evolution on complex networks. Next, the community network of an unmanned swarm is designed, a swarm cooperative evolution model based on the multipublic goods evolutionary game is constructed, and the evolutionary dynamics of the swarm in the community network is given;Finally, the influence of swarm scale, network degree distribution, cost, and benefit on swarm cooperative behavior is simulated and analyzed, and reasonable suggestions of cooperative management and control in swarm operation are given. The conclusion is expected to provide theoretical reference and decision support for cooperative mode design and combat effectiveness generation of unmanned swarm operations.