Cooperative Evolution Mechanism of Unmanned Swarm within the Framework of Public Goods Game

Cooperative Evolution Mechanism of Unmanned Swarm within the Framework of Public Goods Game
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公共物品博弈框架下的无人群体协同演化机制

DOI:
10.1155/2021/5575815
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发表时间:
2021-04
期刊:
Mathematical Problems in Engineering,
影响因子:
--
通讯作者:
Kai Kang
Kai Kang
中科院分区:
其他
文献类型:
--
作者:
Minggang Yu;Ming He;Ziyu Ma;Mingguang Zou;Lei Wan;Kai Kang

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无人群体操作的关键优势之一是其自主合作。当通信中断或失去集中控制方式时,仍能有序地进行协同操作。提出了一种多人公共物品博弈框架下的协作进化机制,解决了集中控制失效情况下无人机群的自主协作问题。从无人群体自主合作的需求分析入手,建立了基于愿望驱动动力学的多人公共物品演化博弈模型。在此基础上,通过理论推导构建了平均丰度函数,并模拟了成本、增殖因子和期望水平对平均丰度的影响。最后,通过实例分析,揭示了群体协作过程中参数调整的演化机理,并提出了相应的建议,为无人群体协作的实际控制提供了有益的探索。
One of the key advantages of unmanned swarm operation is its autonomous cooperation. When the communication is interrupted or the centralized control manner is lost, the cooperative operation can still be carried out orderly. This work proposed a cooperative evolution mechanism within the framework of multiplayer public goods game to solve the problem of autonomous collaboration of unmanned swarm in case of failure of centralized control. It starts with the requirement analysis of autonomous cooperation in unmanned swarm, and then, the evolutionary game model of multiplayer public goods based on aspiration-driven dynamics is established. On this basis, the average abundance function is constructed by theoretical derivation, and furthermore, the influence of cost, multiplication factor, and aspiration level on the average abundance is simulated. Finally, the evolutionary mechanism of parameter adjustment in swarm cooperation is revealed via case study, and deliberate proposals are suggested to provide a meaningful exploration in the actual control of unmanned swarm cooperation.
公共物品困境中的愿望动态与资源可持续性
DOI: 10.1016/j.physleta.2016.02.039
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