dc.contributor.author	Klamser, Pascal P.
dc.contributor.author	Gómez-Nava, Luis
dc.contributor.author	Landgraf, Tim
dc.contributor.author	Jolles, Jolle W.
dc.contributor.author	Bierbach, David
dc.contributor.author	Romanczuk, Pawel
dc.date.accessioned	2021-09-29T10:08:22Z
dc.date.available	2021-09-29T10:08:22Z
dc.date.issued	2021-09-15
dc.date.updated	2021-09-29T07:21:51Z
dc.description.abstract	The collective dynamics and structure of animal groups has attracted the attention of scientists across a broad range of fields. A variety of agent-based models have been developed to help understand the emergence of coordinated collective behavior from simple interaction rules. A common, simplifying assumption of such collective movement models, is that individual agents move with a constant speed. In this work we critically re-asses this assumption. First, we discuss experimental data showcasing the omnipresent speed variability observed in different species of live fish and artificial agents (RoboFish). Based on theoretical considerations accounting for inertia and rotational friction, we derive a functional dependence of the turning response of individuals on their instantaneous speed, which is confirmed by experimental data. We then investigate the interplay of variable speed and speed-dependent turning on self-organized collective behavior by implementing an agent-based model which accounts for both these effects. We show that, besides the average speed of individuals, the variability in individual speed can have a dramatic impact on the emergent collective dynamics: a group which differs to another only in a lower speed variability of its individuals (groups being identical in all other behavioral parameters), can be in the polarized state while the other group is disordered. We find that the local coupling between group polarization and individual speed is strongest at the order-disorder transition, and that, in contrast to fixed speed models, the group’s spatial extent does not have a maximum at the transition. Furthermore, we demonstrate a decrease in polarization with group size for groups of individuals with variable speed, and a sudden decrease in mean individual speed at a critical group size (N = 4 for Voronoi interactions) linked to a topological transition from an all-to-all to a distributed spatial interaction network. Overall, our work highlights the importance to account for fundamental kinematic constraints in general, and variable speed in particular, when modeling self-organized collective dynamics.	en
dc.description.sponsorship	DFG, 390523135, EXC 2002: Science of Intelligence (SCIoI)	en
dc.identifier.eissn	2296-424X
dc.identifier.uri	https://depositonce.tu-berlin.de/handle/11303/13647
dc.identifier.uri	http://dx.doi.org/10.14279/depositonce-12435
dc.language.iso	en	en
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/	en
dc.subject.ddc	530 Physik	de
dc.subject.other	collective motion	en
dc.subject.other	biophysics	en
dc.subject.other	mathematical models	en
dc.subject.other	variable speed	en
dc.subject.other	social interactions	en
dc.subject.other	group size	en
dc.subject.other	phase transition	en
dc.title	Impact of Variable Speed on Collective Movement of Animal Groups	en
dc.type	Article	en
dc.type.version	publishedVersion	en
dcterms.bibliographicCitation.articlenumber	715996	en
dcterms.bibliographicCitation.doi	10.3389/fphy.2021.715996	en
dcterms.bibliographicCitation.journaltitle	Frontiers in Physics	en
dcterms.bibliographicCitation.originalpublishername	Frontiers	en
dcterms.bibliographicCitation.originalpublisherplace	Lausanne	en
dcterms.bibliographicCitation.volume	9	en
tub.accessrights.dnb	free	en
tub.affiliation	Verbundforschung::Exzellenzcluster (EXC)::EXC - SCIoI	de
tub.affiliation.faculty	Verbundforschung	de
tub.affiliation.group	EXC - SCIoI	de
tub.affiliation.institute	Exzellenzcluster (EXC)	de
tub.publisher.universityorinstitution	Technische Universität Berlin	en

Impact of Variable Speed on Collective Movement of Animal Groups

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