集体运动建模

Q4 Engineering 复杂系统与复杂性科学 Pub Date : 2019-03-20 DOI:10.1142/9789813239609_0009
B. Fitzgerald, R. V. Santen, JT Johan Padding
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引用次数: 1

摘要

在许多不同长度尺度的系统中可以观察到集体运动。从微观尺度上的微游泳者的相互作用到宏观尺度上的人的动力学和鸟类的群集行为,自然界中有许多集体反应的例子。长期以来,科学界对系统中集体运动的出现一直着迷于基于实验观察的经典研究方法。然而,合适的计算机算法的发展大大补充和补充了这些实证研究,同时也激发了集体行为的新研究领域。本章概述了测量集体运动的方法和模拟鸟类、鱼类、哺乳动物和人类集体反应的关键算法。
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Modelling of collective motion
Collective motion can be observed in many systems at various length scales. Ranging from the interaction of microswimmers at the microscopic scale to the dynamics of people and flocking behaviours of birds at the macroscopic scale, the natural world is home to many examples of collective responses. The emergence of collective motion in systems has long fascinated the scientific community with the classical approach for their study based on experimental observation. However, the development of suitable computer algorithms has significantly supplemented and complemented these empirical studies while also motivating new research fields on collective behaviour. This chapter outlines methods for measuring collective motion and key algorithms for the simulation of collective responses in birds, fish, mammals and people.
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来源期刊
复杂系统与复杂性科学
复杂系统与复杂性科学 Engineering-Control and Systems Engineering
CiteScore
0.80
自引率
0.00%
发文量
891
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