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由代理异质性诱导的最佳群体形成

Arthur N Montanari^1,2, Ana Elisa D Barioni^3,4, Chao Duan⁵

¹Center for Network Dynamics, Northwestern University, Evanston, IL, USA. arthur.montanari@northwestern.edu.

Nature communications

|November 1, 2025

概括

引入受控障碍:具有优化参数的异质剂增强了群体动态,导致更快的融合和稳定,即使有通信延迟. 这推动了多代理控制策略的发展.

科学领域:

机器人和控制系统机器人和控制系统
复杂的系统和集体行为.
生物启发工程生物启发工程

背景情况:

协调无人机和自动驾驶车辆群的分散战略受到生物群体的启发.
现有的研究主要考虑相同的代理,并专注于相互作用网络.
代理动态中个体间差异的影响在很大程度上是未被探索的.

研究的目的:

为了研究如何在代理者之间的个体间差异 (异质性) 影响稳定性和汇聚群动力学.
确定异质剂是否可以在协调任务中优于同质剂.
探讨在有通信延迟的系统中异质性的作用.

主要方法:

用具有异质参数的代理进行聚合动态的模拟.
同质和异质剂群之间的收时间和稳定性的比较.
在各种控制任务中进行评估,包括目标跟踪,阵营控制和障碍物操纵.

主要成果:

与同质群体相比,具有最佳分配的异质参数的群体实现了比同质群体快20-40%的趋同到所需的构成.
异质性使得在相同的代理物表现出不稳定的动态的场景中,聚合趋同成为可能,特别是在通信延迟的情况下.
通过代理异质性,系统障碍被证明是促进集体行为的适应机制.

结论:

代理人的个体间差异对于增强集群动态和多代理系统性能至关重要.
优化的异质性在速度和稳定性方面比同质性提供了显著的优势.
这项研究挑战了传统的多代理控制范式,强调了系统混乱的适应性好处.

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