Wang Biao, Wu Yue, Wang Guangwei, Liu Lan, Chen Guanrong, Zhang Hai-Tao
School of Artificial Intelligence and Automation, Key Laboratory of Image Processing and Intelligent Control, State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China.
National Engineering Laboratory for Educational Big Data, Central China Normal University, Wuhan 430079, China.
Phys Rev E. 2022 Jul;106(1-1):014611. doi: 10.1103/PhysRevE.106.014611.
Collective decision making in a biological motion group requires fast and robust transmission of information. Typically, directional switching information propagation across the whole group obeys a linear dispersion law. However, conventional dynamic collective motion models, such as the Vicsek model and the Couzin model did not take into account ultrafast directional synchronous motions. In the present paper, a multiparticle model is proposed based on inertial spin self-propel action, which can provide adequate description of such group motion. By considering both spin mechanism and collision avoidance, the proposed self-propelled particle spin model can nicely describe collective motion with fast directional switching. By analyzing the order parameter of the group-velocity synchronization, a mechanism of group decision making is revealed, which is based on the difference between two clusters of divergent leaders, showing a transition from the compromising phase (i.e., following the group average) to the preferred phase (i.e., aligning to a leader cluster). The finding provides new insight to the decision-making process of followers when they face with divergent leaders in group motion.
生物运动群体中的集体决策需要快速且稳健的信息传递。通常，整个群体中方向切换信息的传播遵循线性色散定律。然而，传统的动态集体运动模型，如维塞克模型和库津模型，并未考虑超快方向同步运动。在本文中，基于惯性自旋自推进作用提出了一个多粒子模型，该模型能够充分描述此类群体运动。通过同时考虑自旋机制和碰撞避免，所提出的自推进粒子自旋模型可以很好地描述具有快速方向切换的集体运动。通过分析群速度同步的序参量，揭示了一种群体决策机制，该机制基于两群发散领导者之间的差异，呈现出从妥协阶段（即跟随群体平均方向）到偏好阶段（即与一个领导者群体对齐）的转变。这一发现为跟随者在群体运动中面对发散领导者时的决策过程提供了新的见解。
