ArticleScientific reports2016
Self-organized sorting limits behavioral variability in swarms.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Exploring the criticality hypothesis using programmable swarm robots with Vicsek-like interactions.Journal of the Royal Society, Interface · 2023Article
- Collective behavior and nongenetic inheritance allow bacterial populations to adapt to changing environments.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Modes of information flow in collective cohesion.Science advances · 2022Article
- Article
- Individual and collective foraging in autonomous search agents with human intervention.Scientific reports · 2021Article
- Intra- versus intergroup variance in collective behavior.Science advances · 2019Article
- Frustration-induced phases in migrating cell clusters.Science advances · 2018Article
- Spatial self-organization resolves conflicts between individuality and collective migration.Nature communications · 2018Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
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