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Rotational Flocking with Spontaneous Directional Changes
Complexity ( IF 2.3 ) Pub Date : 2021-07-30 , DOI: 10.1155/2021/1288161
Xiaolu Liu 1, 2 , Guanbo Shao 1 , Yudong Tang 2 , Duxin Chen 1
Affiliation  

Revealing the underlying decision-making strategy governing the high-group polarization accompanied by conflicting individual preferences may play a central part in the lives of social animals. Hereby, we construct a structured spin model in accordance with empirical validation, which shows how distinct individual preferences converge from one consensus homeostasis to another lowest-energy equilibrium. To verify the theoretical derivation, we use high-resolution spatiotemporal GPS data of a flock of thirty pigeons and study the dynamical evolution mechanism of systemic spins. Therein, we find successful rotational direction transitions requiring a sufficient number of supporters. A few initiators trigger the phase transition from one equilibrium to another, where the symmetric transient state indicates a diamond hierarchical network being completed by the intermediates and the rear individuals. By further studying the nature, we reveal that decision-making sequences are strongly triggered and influenced by individual positions and the leader-follower relationship. Thus, we can predict which individual is more likely to make the decision before the initial transition moment and who will draw the complete stop. Consequently, the revealed decision-making strategy facilitates a comprehensive understanding of collective behavioral transition.

中文翻译:

具有自发方向变化的旋转植绒

揭示伴随个人偏好冲突的高群体两极分化的潜在决策策略可能在社会动物的生活中发挥核心作用。因此,我们根据经验验证构建了一个结构化自旋模型,该模型显示了不同的个人偏好如何从一个共识稳态收敛到另一个最低能量平衡。为了验证理论推导,我们使用了 30 只鸽子群的高分辨率时空 GPS 数据,研究了系统自旋的动力学演化机制。其中,我们发现成功的旋转方向转换需要足够数量的支持者。一些引发剂触发了从一种平衡到另一种平衡的相变,其中对称瞬态表示由中间人和后人完成的菱形层次网络。通过进一步研究性质,我们发现决策序列受到个人职位和领导者与追随者关系的强烈触发和影响。因此,我们可以预测哪个人更有可能在初始过渡时刻之前做出决定,以及谁将完全停止。因此,揭示的决策策略促进了对集体行为转变的全面理解。我们可以预测哪个人更有可能在初始过渡时刻之前做出决定,以及谁将完全停止。因此,揭示的决策策略促进了对集体行为转变的全面理解。我们可以预测哪个人更有可能在初始过渡时刻之前做出决定,以及谁将完全停止。因此,揭示的决策策略促进了对集体行为转变的全面理解。
更新日期:2021-07-30
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