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动物联盟模型及其对人类进化的启示。

Models of animal coalitions and their implications for human evolution.

机构信息

Department of Biological Sciences, The University of Tokyo, Hongo 7-3-1, Bunkyoku, Tokyo 113-0033, Japan.

出版信息

Proc Biol Sci. 2024 Oct;291(2033):20241227. doi: 10.1098/rspb.2024.1227. Epub 2024 Oct 30.

Abstract

Social interaction is a prime driver for the evolution of animal behaviour. Dyadic interaction, in particular, has been the focus of intensive research on the evolution of mutualistic, altruistic, selfish or spiteful behaviours. Meanwhile, triadic interaction has been the minimal framework for the study of animal coalition as observed in some species of primates, as well as in carnivores and cetaceans, where two or more individuals act jointly against a third party in a competitive context. Previous mathematical models of animal coalition have either failed to explain the observed diversity in the configuration of coalition or presumed fine-tuned decision-making that may be unrealistic for non-human animals. To approach these issues, the present study develops a new model that is fairly simple, but still able to account for the observed diversity in animal coalitions. Analysis of the model specifies key parameters affecting the predicted types of coalition: the nature of the benefit being contested, the cost-to-benefit ratio associated with fighting and the synergistic effect in coalition formation. Additionally, the model is used to evaluate the social selection hypothesis, which claims that coalition formation induced social selection favouring reduced aggression and lower fighting abilities during human evolution.

摘要

社交互动是动物行为进化的主要驱动力。特别是,二元互动一直是研究互利、利他、自私或恶意行为进化的重点。同时,三元互动一直是研究动物联盟的最小框架,在一些灵长类动物以及肉食动物和鲸目动物中都有观察到,其中两个或更多个体在竞争环境中联合起来对抗第三方。以前的动物联盟数学模型要么未能解释观察到的联盟结构的多样性,要么假设了精细的决策制定,这对于非人类动物来说可能不切实际。为了解决这些问题,本研究开发了一个新模型,该模型相当简单,但仍然能够解释观察到的动物联盟多样性。该模型的分析确定了影响预测联盟类型的关键参数:正在争夺的利益的性质、与战斗相关的成本效益比以及联盟形成中的协同效应。此外,该模型还用于评估社会选择假说,该假说声称,人类进化过程中,联盟形成引起的社会选择有利于减少攻击性和降低战斗能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22a7/11521593/d594c2d3814c/rspb.2024.1227.f001.jpg

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