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本文引用的文献

1
Deciphering interactions in moving animal groups.解析移动动物群体中的相互作用。
PLoS Comput Biol. 2012;8(9):e1002678. doi: 10.1371/journal.pcbi.1002678. Epub 2012 Sep 13.
2
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Phys Rev E Stat Nonlin Soft Matter Phys. 2012 Jul;86(1 Pt 1):011901. doi: 10.1103/PhysRevE.86.011901. Epub 2012 Jul 2.
3
Modeling collective animal behavior with a cognitive perspective: a methodological framework.从认知角度对动物集体行为进行建模:一种方法框架。
PLoS One. 2012;7(6):e38588. doi: 10.1371/journal.pone.0038588. Epub 2012 Jun 26.
4
The dynamics of coordinated group hunting and collective information transfer among schooling prey.群体协同捕猎的动力学与聚群洄游猎物的集体信息传递
Curr Biol. 2012 Jul 10;22(13):1213-7. doi: 10.1016/j.cub.2012.04.050. Epub 2012 Jun 7.
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Inferring the rules of interaction of shoaling fish.推断鱼类集群行为的交互规则。
Proc Natl Acad Sci U S A. 2011 Nov 15;108(46):18726-31. doi: 10.1073/pnas.1109355108. Epub 2011 Nov 7.
6
Bayesian inference for identifying interaction rules in moving animal groups.贝叶斯推断在移动动物群体中识别相互作用规则。
PLoS One. 2011;6(8):e22827. doi: 10.1371/journal.pone.0022827. Epub 2011 Aug 4.
7
Inferring the structure and dynamics of interactions in schooling fish.推断成群游动鱼类的相互作用的结构和动态。
Proc Natl Acad Sci U S A. 2011 Nov 15;108(46):18720-5. doi: 10.1073/pnas.1107583108. Epub 2011 Jul 27.
8
Collective motion from local attraction.集体运动源于局部吸引。
J Theor Biol. 2011 Aug 21;283(1):145-51. doi: 10.1016/j.jtbi.2011.05.019. Epub 2011 May 23.
9
How simple rules determine pedestrian behavior and crowd disasters.简单规则如何决定行人行为和人群灾难。
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Fast and accurate decisions through collective vigilance in fish shoals.通过鱼群的集体警戒实现快速而准确的决策。
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从行为分析到鱼群集体运动模型。

From behavioural analyses to models of collective motion in fish schools.

作者信息

Lopez Ugo, Gautrais Jacques, Couzin Iain D, Theraulaz Guy

机构信息

Centre de Recherches sur la Cognition Animale, UMR-CNRS 5169 , Université Paul Sabatier , Bât 4R3, 118 Route de Narbonne, 31062 Toulouse Cedex 9 , France ; CNRS, Centre de Recherches sur la Cognition Animale , 31062 Toulouse , France ; Université de Toulouse, UPS, INPT, LAPLACE (Laboratoire Plasma et Conversion d'Energie) , 118 route de Narbonne, 31062 Toulouse Cedex 9 , France ; CNRS, LAPLACE , 31062 Toulouse Cedex 9 , France.

出版信息

Interface Focus. 2012 Dec 6;2(6):693-707. doi: 10.1098/rsfs.2012.0033. Epub 2012 Oct 3.

DOI:10.1098/rsfs.2012.0033
PMID:24312723
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3499128/
Abstract

Fish schooling is a phenomenon of long-lasting interest in ethology and ecology, widely spread across taxa and ecological contexts, and has attracted much interest from statistical physics and theoretical biology as a case of self-organized behaviour. One topic of intense interest is the search of specific behavioural mechanisms at stake at the individual level and from which the school properties emerges. This is fundamental for understanding how selective pressure acting at the individual level promotes adaptive properties of schools and in trying to disambiguate functional properties from non-adaptive epiphenomena. Decades of studies on collective motion by means of individual-based modelling have allowed a qualitative understanding of the self-organization processes leading to collective properties at school level, and provided an insight into the behavioural mechanisms that result in coordinated motion. Here, we emphasize a set of paradigmatic modelling assumptions whose validity remains unclear, both from a behavioural point of view and in terms of quantitative agreement between model outcome and empirical data. We advocate for a specific and biologically oriented re-examination of these assumptions through experimental-based behavioural analysis and modelling.

摘要

鱼类集群是一个在行为学和生态学中长期备受关注的现象,广泛存在于各类生物分类群和生态环境中,作为一种自组织行为的实例,它引起了统计物理学和理论生物学的浓厚兴趣。一个备受关注的热点话题是探寻个体层面上起作用的特定行为机制,以及鱼群特性是如何从这些机制中产生的。这对于理解个体层面上的选择压力如何促进鱼群的适应性特性,以及试图区分功能特性与非适应性附带现象至关重要。数十年来,通过基于个体的建模对集体运动进行的研究,使我们能够定性地理解导致鱼群层面集体特性的自组织过程,并深入了解产生协调运动的行为机制。在此,我们强调一组典型的建模假设,从行为学角度以及模型结果与实证数据之间的定量一致性方面来看,其有效性仍不明确。我们主张通过基于实验的行为分析和建模,对这些假设进行具体的、以生物学为导向的重新审视。