论文标题
$ Rheomergy $：由积极流动招聘介导的集体行为
$Rheomergy$: Collective behavior mediated by active flow-based recruitment
论文作者
论文摘要
信号传播的物理学相互交流的生物集合中，同时又限制了单个层面的主动激发如何达到，招募和导致集体模式。受蜜蜂平面群中的模式的启发，并利用扇形流量来招募其他蜜蜂，我们开发了一个理论框架，用于通过基于流动的招聘进行模仿。我们的模型概括了扩散为主导的聚集的众所周知的Patlak-keller-segel模型，并导致图案的更复杂的相位空间，该模式由两个无量纲参数跨越，以测量缩放的刺激/活性和缩放的趋化性反应。这些共同决定了信号通信的疗效，这导致了与观察结果一致的各种迁移和聚集模式。
The physics of signal propagation in a collection of organisms that communicate with each other both enables and limits how active excitations at the individual level reach, recruit and lead to collective patterning. Inspired by the patterns in a planar swarm of bees that release pheromones, and use fanning flows to recruit additional bees, we develop a theoretical framework for patterning via active flow-based recruitment. Our model generalizes the well-known Patlak-Keller-Segel model of diffusion-dominated aggregation and leads to more complex phase space of patterns spanned by two dimensionless parameters that measure the scaled stimulus/activity and the scaled chemotactic response. Together these determine the efficacy of signal communication that leads to a variety of migration and aggregation patterns consistent with observations.
