Self-organized sorting limits behavioral variability in swarms.
Self-organized sorting limits behavioral variability in swarms.
复制标题
DOI：
10.1038/srep31808
复制
发表时间：
2016-08-23
影响因子：
4.6
通讯作者：
Gopinathan A
中科院分区：
文献类型：
--
作者：
Copenhagen K;Quint DA;Gopinathan A
群集是一种集体运动的现象，这种集体运动是由典型的相同个体之间的简单局部相互作用引起的。在这里，我们调查的影响，在有限的群体与对齐和凝聚力的相互作用的代理之间的行为的变化。我们表明，群集被废除以上的非对准谁不参与对齐的关键部分。然而，在某些情况下，高于临界阈值的群可以动态地重新组织并分选出过量的非对准器，以保持平均分数接近临界值。这甚至在具有排列相互作用分布的群体中也持续存在，表明一种简单、稳健和有效的机制，允许异质混合的群体自然地调节其组成并保持在集体群集状态，甚至在行为表型之间进行区分。我们表明，对于不断发展的群体，这种自组织的排序行为可以耦合到进化动力学，导致新的进化稳定的平衡种群的物理群参数。
Swarming is a phenomenon where collective motion arises from simple local interactions between typically identical individuals. Here, we investigate the effects of variability in behavior among the agents in finite swarms with both alignment and cohesive interactions. We show that swarming is abolished above a critical fraction of non-aligners who do not participate in alignment. In certain regimes, however, swarms above the critical threshold can dynamically reorganize and sort out excess non-aligners to maintain the average fraction close to the critical value. This persists even in swarms with a distribution of alignment interactions, suggesting a simple, robust and efficient mechanism that allows heterogeneously mixed populations to naturally regulate their composition and remain in a collective swarming state or even differentiate among behavioral phenotypes. We show that, for evolving swarms, this self-organized sorting behavior can couple to the evolutionary dynamics leading to new evolutionarily stable equilibrium populations set by the physical swarm parameters.