{"title":"Phase Transitions in Models of Bird Flocking","authors":"H. Christodoulidi, K. Weele, C. Antonopoulos, T. Bountis","doi":"10.1142/9789814602136_0019","DOIUrl":null,"url":null,"abstract":"© 2015 by World Scientific Publishing Co. Pte. Ltd. The aim of the present paper is to elucidate the transition from collective to random behavior exhibited by various mathematical models of bird flocking. In particular, we compare Vicsek’s model [Vicsek et al., Phys. Rev. Lett. 75, 1226-1229 (1995)] with one based on topological considerations. The latter model is found to exhibit a first order phase transition from flocking to decoherence, as the \"noise parameter\" of the problem is increased, whereas Vicsek’s model gives a second order transition. Refining the topological model in such a way that birds are influenced mostly by the birds in front of them, less by the ones at their sides and not at all by those behind them (because they do not see them), we find a behavior that lies in between the two models. Finally, we propose a novel mechanism for preserving the flock’s cohesion, without imposing artificial boundary conditions or attractive forces.","PeriodicalId":139082,"journal":{"name":"arXiv: Adaptation and Self-Organizing Systems","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv: Adaptation and Self-Organizing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/9789814602136_0019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
鸟群模型中的相变
©2015世界科学出版有限公司本文的目的是阐明鸟类群集的各种数学模型所表现出的从集体行为到随机行为的转变。特别地,我们比较了Vicsek的模型[Vicsek et al., Phys。Rev. Lett. 75,1226 -1229(1995)]与一个基于拓扑的考虑。当问题的“噪声参数”增加时,后一种模型显示出从群集到退相干的一阶相变,而Vicsek的模型给出了二阶相变。以这样一种方式改进拓扑模型,即鸟类主要受它们前面的鸟的影响,较少受它们旁边的鸟的影响,而根本不受它们后面的鸟的影响(因为它们看不见它们),我们发现了一种位于两个模型之间的行为。最后,我们提出了一种新的机制来保持群体的凝聚力,而不强加人为的边界条件或吸引力。
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