作为具有自适应网络动力学的行为传染过程的逃逸级联
Escape cascades as a behavioral contagion process with adaptive network dynamics
AI总结：
本文提出一个空间显式智能体模型，研究动物群体逃逸中行为传染与自适应网络动力学的耦合，发现逃逸速度、初始方向和旋转噪声显著影响级联规模，强调运动动力学对集体协调响应的重要性。
摘要：
移动动物群体集体逃避中的复杂行为传染可以通过重建定量交互网络来预测。基于快速传染过程与较慢运动响应之间时间尺度分离的假设，此前的底层交互网络被假定为静态的，由集体逃逸响应开始时的空间结构决定。这种理想化没有考虑空间网络结构的时间演化，而后者可能对行为传染动力学产生重大影响。在此，我们提出一个空间显式的、基于智能体的模型，用于耦合行为传染与由扩散运动响应产生的网络动力学。我们探讨了运动参数（惊逃速度、初始方向性和方向噪声）对平均级联规模的影响。通过对不同密度水平进行数值模拟，我们表明：在大多数情况下，提高逃逸速度会抑制级联规模；级联规模强烈依赖于最初受惊个体的运动方向；个体逃逸运动方向的大变异性（旋转噪声）通常会促进行为传染在空间群体中的传播。我们的工作强调了在行为传染中考虑运动动力学的重要性，并有助于我们理解动物群体中的快速协调响应和集体信息处理。
英文摘要：
Complex behavioral contagion in collective evasion of mobile animal groups can be predicted by reconstructing quantitative interaction networks. Based on the assumption of time-scale separation between a fast contagion process and a slower movement response, the underlying interaction networks have been previously assumed to be static, determined by the spatial structure at the onset of the collective escape response. This idealization does not account for the temporal evolution of the spatial network structure, which may have a major impact on the behavioral contagion dynamics. Here, we propose a spatially-explicit, agent-based model for the coupling between behavioral contagion and the network dynamics originating from the spreading movement response. We explore the impact of movement parameters (startle speed, initial directionality, and directional noise) on average cascade size. By conducting numerical simulations for different density levels, we show that increasing escape speed suppresses the cascade size in most cases, that the cascade size depends strongly on the movement direction of the initially startled individual, and that large variability in the direction of individual escape movements (rotational noise) will typically promote the spread of behavioral contagion through spatial groups. Our work highlights the importance of accounting for movement dynamics in behavioral contagion, and facilitates our understanding of rapid coordinated response and collective information processing in animal groups.
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