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Self-organized sorting limits behavioral variability in swarms
by
Quint, David A.
, Copenhagen, Katherine
, Gopinathan, Ajay
in
631/57/2266
/ 639/766/530/2795
/ 639/766/747
/ Algorithms
/ Animal Migration - physiology
/ Animals
/ Behavior
/ Computer Simulation
/ Humanities and Social Sciences
/ Models, Biological
/ multidisciplinary
/ Population Dynamics
/ Science
/ Social Behavior
/ Spatial Behavior - physiology
/ Swarming
2016
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Self-organized sorting limits behavioral variability in swarms
by
Quint, David A.
, Copenhagen, Katherine
, Gopinathan, Ajay
in
631/57/2266
/ 639/766/530/2795
/ 639/766/747
/ Algorithms
/ Animal Migration - physiology
/ Animals
/ Behavior
/ Computer Simulation
/ Humanities and Social Sciences
/ Models, Biological
/ multidisciplinary
/ Population Dynamics
/ Science
/ Social Behavior
/ Spatial Behavior - physiology
/ Swarming
2016
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Do you wish to request the book?
Self-organized sorting limits behavioral variability in swarms
by
Quint, David A.
, Copenhagen, Katherine
, Gopinathan, Ajay
in
631/57/2266
/ 639/766/530/2795
/ 639/766/747
/ Algorithms
/ Animal Migration - physiology
/ Animals
/ Behavior
/ Computer Simulation
/ Humanities and Social Sciences
/ Models, Biological
/ multidisciplinary
/ Population Dynamics
/ Science
/ Social Behavior
/ Spatial Behavior - physiology
/ Swarming
2016
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Self-organized sorting limits behavioral variability in swarms
Journal Article
Self-organized sorting limits behavioral variability in swarms
2016
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Overview
Swarming is a phenomenon where collective motion arises from simple local interactions between typically identical individuals. Here, we investigate the effects of variability in behavior among the agents in finite swarms with both alignment and cohesive interactions. We show that swarming is abolished above a critical fraction of non-aligners who do not participate in alignment. In certain regimes, however, swarms above the critical threshold can dynamically reorganize and sort out excess non-aligners to maintain the average fraction close to the critical value. This persists even in swarms with a distribution of alignment interactions, suggesting a simple, robust and efficient mechanism that allows heterogeneously mixed populations to naturally regulate their composition and remain in a collective swarming state or even differentiate among behavioral phenotypes. We show that, for evolving swarms, this self-organized sorting behavior can couple to the evolutionary dynamics leading to new evolutionarily stable equilibrium populations set by the physical swarm parameters.
Publisher
Nature Publishing Group UK,Nature Publishing Group
Subject
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