Toward Comparative Collective Behavior to Discover Fundamental Mechanisms Underlying Behavior in Human Crowds and Nonhuman Animal Groups

H. Murakami, M. S. Abe, Y. Nishiyama
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Abstract

This article provides comparative perspectives on collective behaviors that are widely found throughout the animal kingdom, ranging from insect and crustacea swarms, fish schools, bird flocks, and mammal herds to human crowds. Studies of nonhuman animal and human collective behaviors have progressed almost separately even though they have a similar history. Theoretical studies have investigated the reproduction of collective phenomena from simple inter-individual rules, and subsequent empirical and experimental studies have found diverse and complex collective behaviors that are difficult to explain with classical theoretical models. As a consequence, a wide variety of interaction rules have been proposed. To determine models to be implemented in nature and find fundamental mechanisms of collective behaviors, this paper argues that we should compare collective behaviors among various species while adopting Tinbergen’s four questions regarding mechanism, function, development, and evolution as a methodological basis. As an example of a comparative collective behavior paradigm, we introduce our studies in which a mutual anticipation mechanism inspired by nonhuman animal collective behaviors can be linked to a self-organization function in human collective behaviors. We expect that the study of comparative collective behaviors will expand, the methodology will become more sophisticated, and new perspectives regarding the multitemporal features of collective behaviors will emerge.
比较集体行为发现人类群体和非人类动物群体行为的基本机制
这篇文章提供了在动物界广泛发现的集体行为的比较观点,从昆虫和甲壳类动物群体、鱼群、鸟群、哺乳动物群体到人类群体。对非人类动物和人类集体行为的研究几乎是分开进行的,尽管它们有着相似的历史。理论研究从简单的个体间规则探讨了集体现象的再现,随后的实证和实验研究发现了难以用经典理论模型解释的多样化和复杂的集体行为。因此,人们提出了各种各样的交互规则。为了确定在自然界中可实施的模型,并找到集体行为的基本机制,本文认为我们应该以Tinbergen提出的机制、功能、发展和进化四个问题为方法论基础,对不同物种之间的集体行为进行比较。作为比较集体行为范式的一个例子,我们介绍了我们的研究,其中受非人类动物集体行为启发的相互预期机制可以与人类集体行为中的自组织功能联系起来。我们期望,比较集体行为的研究将会扩大,方法将变得更加复杂,关于集体行为的多时间特征的新视角将会出现。
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