Scale-free correlations in collective motion with position-based interactions

E. Ferrante, A. E. Turgut, T. Wenseleers, C. Huepe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Collective Motion (CM) is observed in a variety of animal groups such as bird flocks and fish schools. In a recent study, Cavagna et al. (2010) found that the correlation lengths of speed and velocity fluctuations in starling flocks are not set by a specific interaction range, but are instead scale-free, proportional to the group size. So far, this observation has been justified by hypothesizing that flocks evolved to follow critical dynamics near a phase transition, where scale-free correlations are known to emerge. Criticality could provide an evolutionary advantage by allowing the flock to optimally respond to an external perturbation such as a predator attack. However, a criticality-based explanation may only be required in cases where interactions are based exclusively on relative orientations, as often assumed in CM models, following the seminal work by Vicsek et al. (1995). In this paper, we show that an alternative, more parsimonious, mechanism can produce scale-free correlations when considering interactions based on relative positions.

Original languageEnglish (US)
Title of host publicationArtificial Life 14 - Proceedings of the 14th International Conference on the Synthesis and Simulation of Living Systems, ALIFE 2014
EditorsHiroki Sayama, John Rieffel, Sebastian Risi, Rene Doursat, Hod Lipson
PublisherMIT Press Journals
Pages300-301
Number of pages2
ISBN (Electronic)9780262326216
StatePublished - 2014
Event14th International Conference on the Synthesis and Simulation of Living Systems, ALIFE 2014 - Manhattan, United States
Duration: Jul 30 2014Aug 2 2014

Publication series

NameArtificial Life 14 - Proceedings of the 14th International Conference on the Synthesis and Simulation of Living Systems, ALIFE 2014

Conference

Conference14th International Conference on the Synthesis and Simulation of Living Systems, ALIFE 2014
Country/TerritoryUnited States
CityManhattan
Period7/30/148/2/14

ASJC Scopus subject areas

  • General Biochemistry, Genetics and Molecular Biology
  • Artificial Intelligence
  • Modeling and Simulation

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