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本文引用的文献

1
Cannibalism can drive the evolution of behavioural phase polyphenism in locusts.食人肉行为可驱动蝗虫行为相位多态性的进化。
Ecol Lett. 2012 Oct;15(10):1158-66. doi: 10.1111/j.1461-0248.2012.01840.x. Epub 2012 Aug 8.
2
Loom-sensitive neurons link computation to action in the Drosophila visual system.Loom 敏感神经元将果蝇视觉系统中的计算与行为联系起来。
Curr Biol. 2012 Mar 6;22(5):353-62. doi: 10.1016/j.cub.2012.01.007. Epub 2012 Feb 2.
3
Uninformed individuals promote democratic consensus in animal groups.不知情的个体促进了动物群体中的民主共识。
Science. 2011 Dec 16;334(6062):1578-80. doi: 10.1126/science.1210280.
4
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.
5
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.
6
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.
7
Chemotactic predator-prey dynamics.趋化性捕食者-猎物动态
Phys Rev E Stat Nonlin Soft Matter Phys. 2011 Mar;83(3 Pt 1):031914. doi: 10.1103/PhysRevE.83.031914. Epub 2011 Mar 23.
8
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。
Proc Natl Acad Sci U S A. 2011 Apr 26;108(17):6884-8. doi: 10.1073/pnas.1016507108. Epub 2011 Apr 18.
9
Making noise: emergent stochasticity in collective motion.制造噪音:集体运动中的涌现随机性行为。
J Theor Biol. 2010 Dec 7;267(3):292-9. doi: 10.1016/j.jtbi.2010.08.034. Epub 2010 Sep 8.
10
Nutritional state and collective motion: from individuals to mass migration.营养状态和集体运动:从个体到大规模迁移。
Proc Biol Sci. 2011 Feb 7;278(1704):356-63. doi: 10.1098/rspb.2010.1447. Epub 2010 Aug 25.

由于选择性吸引和排斥导致的群集和模式形成。

Swarming and pattern formation due to selective attraction and repulsion.

机构信息

Max Planck Institute for the Physics of Complex Systems, Nöthnitzerstrasse 38, 01187 Dresden, Germany.

出版信息

Interface Focus. 2012 Dec 6;2(6):746-56. doi: 10.1098/rsfs.2012.0030. Epub 2012 Sep 26.

DOI:10.1098/rsfs.2012.0030
PMID:24312728
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3499126/
Abstract

We discuss the collective dynamics of self-propelled particles with selective attraction and repulsion interactions. Each particle, or individual, may respond differently to its neighbours depending on the sign of their relative velocity. Thus, it is able to distinguish approaching (coming closer) and retreating (moving away) individuals. This differentiation of the social response is motivated by the response to looming visual stimuli and may be seen as a generalization of the previously proposed escape and pursuit interactions motivated by empirical evidence for cannibalism as a driving force of collective migration in locusts and Mormon crickets. The model can account for different types of behaviour such as pure attraction, pure repulsion or escape and pursuit, depending on the values (signs) of the different response strengths. It provides, in the light of recent experimental results, an interesting alternative to previously proposed models of collective motion with an explicit velocity-alignment interaction. We discuss the derivation of a coarse-grained description of the system dynamics, which allows us to derive analytically the necessary condition for emergence of collective motion. Furthermore, we analyse systematically the onset of collective motion and clustering in numerical simulations of the model for varying interaction strengths. We show that collective motion arises only in a subregion of the parameter space, which is consistent with the analytical prediction and corresponds to an effective escape and/or pursuit response.

摘要

我们讨论了具有选择性吸引和排斥相互作用的自主粒子的集体动力学。每个粒子或个体可能会根据相对速度的符号对其邻居做出不同的反应。因此,它能够区分接近(靠近)和远离(远离)的个体。这种社会反应的分化是由对逼近的视觉刺激的反应所驱动的,并且可以被看作是先前提出的逃避和追逐相互作用的推广,这些相互作用是基于对蝗虫和摩门蟋蟀集体迁移的驱动力——同类相食的经验证据。该模型可以根据不同响应强度的(符号)值来解释不同类型的行为,例如纯吸引、纯排斥或逃避和追逐。根据最近的实验结果,它为具有明确速度对准相互作用的集体运动的先前提出的模型提供了一个有趣的替代方案。我们讨论了系统动力学的粗粒描述的推导,这使我们能够从分析上推导出集体运动出现的必要条件。此外,我们在模型的数值模拟中系统地分析了不同相互作用强度下集体运动和聚类的起始。我们表明,集体运动仅在参数空间的一个子区域中出现,这与分析预测一致,并且对应于有效的逃避和/或追逐反应。