U.S. Naval Research Laboratory, Code 6792, Plasma Physics Division, Washington, DC 20375, USA.
U.S. Naval Research Laboratory, Code 5514, Navy Center for Applied Research in Artificial Intelligence, Washington, DC 20375, USA.
Chaos. 2020 May;30(5):051106. doi: 10.1063/5.0006540.
Dynamical emergent patterns of swarms are now fairly well established in nature and include flocking and rotational states. Recently, there has been great interest in engineering and physics to create artificial self-propelled agents that communicate over a network and operate with simple rules, with the goal of creating emergent self-organizing swarm patterns. In this paper, we show that when communicating networks have range dependent delays, rotational states, which are typically periodic, undergo a bifurcation and create swarm dynamics on a torus. The observed bifurcation yields additional frequencies into the dynamics, which may lead to quasi-periodic behavior of the swarm.
群体的动力涌现模式在自然界中已经相当成熟,包括聚集和旋转状态。最近,工程学和物理学领域非常关注通过网络进行通信的人工自主代理的开发,并采用简单的规则进行操作,目的是创建自组织涌现的群体模式。在本文中,我们表明当通信网络具有依赖于范围的延迟时,通常是周期性的旋转状态会发生分岔,并在环面上产生群体动力学。观察到的分岔会使动力学产生额外的频率,这可能导致群体的准周期行为。