A rule-of-thumb based on social affiliation explains collective movements in desert baboons
A rule-of-thumb based on social affiliation explains collective movements in desert baboons
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DOI：
10.1016/j.anbehav.2011.09.017
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发表时间：
2011-12-01
期刊：
影响因子：
2.5
通讯作者：
Cowlishaw, Guy
中科院分区：
文献类型：
--
作者：
King, Andrew J.;Sueur, Cedric;Cowlishaw, Guy
如果群居动物协调活动的时间和性质，它们将从社会性中获益最多。自组织机制可以成为昆虫群体或鱼群等大型动物群体协调的基础，但这些机制在生活在小稳定群体中的社会复杂物种中运作的程度尚不清楚。因此，我们研究了野生查克马狒狒（Papio ursinus）集体离开其睡眠地点的情况。首先，根据之前的观察，离开过程似乎是通过个人“离开”的暗示来协调的，没有特定的声音或视觉信号的作用。其次，我们利用网络分析来探索个体间的关系如何影响离开模式，并发现当地的规则，即跟随那些与它们有着密切社会联系的狒狒的运动，决定了狒狒群体何时离开。最后，使用基于代理的模型，我们能够根据我们确定的涌现规则，以数学方式模拟观察到的集体运动模式。我们的研究增强了这样一种观点，即社会复杂性并不需要决策过程中的认知复杂性，这与认知心理学家和研究生物系统自组织的研究人员所研究的启发式决策观点一致。 (C) 2011 年动物行为研究协会。由爱思唯尔有限公司出版。保留所有权利。
Animals living in groups will profit most from sociality if they coordinate the timing and nature of their activities. Self-organizing mechanisms can underlie coordination in large animal groups such as insect colonies or fish schools, but to what degree these mechanisms operate in socially complex species that live in small stable groups is not well known. We therefore examined the collective departure of wild chacma baboons, Papio ursinus, from their sleeping sites. First, in line with previous observations, the departure process appeared to be coordinated through the cue of individuals 'moving off', with no role for specific vocal or visual signalling. Second, we employed network analyses to explore how interindividual relationships influenced departure patterns, and found that a local rule, to follow the movements of those baboons with whom they shared a close social affiliation, determined when the baboon group departed. Finally, using an agent-based model, we were able to simulate mathematically the observed patterns of collective movements based upon the emergent rule that we identified. Our study adds weight to the idea that social complexity does not necessitate cognitive complexity in the decision-making process, consistent with heuristic decision-making perspectives studied by cognitive psychologists and researchers studying self-organization in biological systems. (C) 2011 The Association for the Study of Animal Behaviour. Published by Elsevier Ltd. All rights reserved.