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 language | English (US) |
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Title of host publication | Artificial Life 14 - Proceedings of the 14th International Conference on the Synthesis and Simulation of Living Systems, ALIFE 2014 |
Editors | Hiroki Sayama, John Rieffel, Sebastian Risi, Rene Doursat, Hod Lipson |
Publisher | MIT Press Journals |
Pages | 300-301 |
Number of pages | 2 |
ISBN (Electronic) | 9780262326216 |
State | Published - 2014 |
Event | 14th International Conference on the Synthesis and Simulation of Living Systems, ALIFE 2014 - Manhattan, United States Duration: Jul 30 2014 → Aug 2 2014 |
Publication series
Name | Artificial Life 14 - Proceedings of the 14th International Conference on the Synthesis and Simulation of Living Systems, ALIFE 2014 |
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Conference
Conference | 14th International Conference on the Synthesis and Simulation of Living Systems, ALIFE 2014 |
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Country/Territory | United States |
City | Manhattan |
Period | 7/30/14 → 8/2/14 |
Funding
Acknowledgements This work was partially supported by the Vlaanderen Research Foundation Flanders (H2Swarm project), the US National Science Foundation (Grant No. PHY-0848755) and TUBITAK (Grant No. 2219).
ASJC Scopus subject areas
- General Biochemistry, Genetics and Molecular Biology
- Artificial Intelligence
- Modeling and Simulation