数据驱动的鱼群模型中对扰动的集体响应
Collective response to perturbations in a data-driven fish school model
摘要：
鱼群在面对威胁时能够表现出丰富多样的集体状态和行为反应。然而，学校对扰动的反应可能会因其集体状态而有所不同。在这里，我们使用以前开发的数据驱动的鱼群模型来研究单个或少量的扰动个体如何影响一个学校的长期行为，这取决于其集体状态。这些干扰鱼的特点是由一组的吸引力和对齐参数不同于那些主要的人口。我们发现，学校对扰动的响应在铣削状态和上学状态之间的过渡区域附近最大，在该区域学校表现出多稳定性并定期在这两个状态之间切换。我们还发现，一个显着的学校的扰动的反应只发生在一定的阈值以下的噪声与社会互动的比率。
英文摘要：
Fish schools are able to display a rich variety of collective states and behavioural responses when they are confronted to threats. However a school's response to perturbations may be different depending on its collective state. Here we use a previously developed data-driven fish school model to investigate how a single or a small number of perturbing individuals affect the long-term behaviour of a school depending on its collective state. These perturbing fish are characterised by a set of attraction and alignment parameters different from those of the main population. We find that the responsiveness of the school to the perturbation is maximum near the transition region between milling and schooling states where the school exhibits multistability and regularly shifts between these two states. We also find that a significant school's response to a perturbation only happens below a certain threshold of the noise to social interactions ratio.
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