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Determining interaction rules in animal swarms

Author

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  • Anders Eriksson
  • Martin Nilsson Jacobi
  • Johan Nyström
  • Kolbjørn Tunstrøm

Abstract

In this paper, we introduce a method for determining local interaction rules in animal swarms. The method is based on the assumption that the behavior of individuals in a swarm can be treated as a set of mechanistic rules.The principal idea behind the technique is to vary parameters that define a set of hypothetical interactions, as for example, a rule for aligning with neighbors. The parameter values are optimized so that the deviation between the observed movements in an animal swarm and the movements predicted by the assumed rule set is minimal. We demonstrate the method by reconstructing the interaction rules from the trajectories produced by a computer simulation. Copyright 2010, Oxford University Press.

Suggested Citation

  • Anders Eriksson & Martin Nilsson Jacobi & Johan Nyström & Kolbjørn Tunstrøm, 2010. "Determining interaction rules in animal swarms," Behavioral Ecology, International Society for Behavioral Ecology, vol. 21(5), pages 1106-1111.
    • Handle: RePEc:oup:beheco:v:21:y:2010:i:5:p:1106-1111
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    File URL: http://hdl.handle.net/10.1093/beheco/arq118
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    Cited by:

    1. Zhao, Yongxiang & Lu, Tuantuan & Su, Wenliang & Wu, Peng & Fu, Libi & Li, Meifang, 2019. "Quantitative measurement of social repulsive force in pedestrian movements based on physiological responses," Transportation Research Part B: Methodological, Elsevier, vol. 130(C), pages 1-20.
    2. Blanchet, Adrien & Degond, Pierre, 2017. "Kinetic models for topological nearest-neighbor interactions," IAST Working Papers 17-65, Institute for Advanced Study in Toulouse (IAST).
    3. Richard P Mann & Andrea Perna & Daniel Strömbom & Roman Garnett & James E Herbert-Read & David J T Sumpter & Ashley J W Ward, 2013. "Multi-scale Inference of Interaction Rules in Animal Groups Using Bayesian Model Selection," PLOS Computational Biology, Public Library of Science, vol. 9(3), pages 1-13, March.
    4. Richard P Mann & Andrea Perna & Daniel Strömbom & Roman Garnett & James E Herbert-Read & David J T Sumpter & Ashley J W Ward, 2012. "Multi-scale Inference of Interaction Rules in Animal Groups Using Bayesian Model Selection," PLOS Computational Biology, Public Library of Science, vol. 8(1), pages 1-12, January.

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