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Group chase and escape model with chasers’ interaction

Author

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  • Saito, Takuya
  • Nakamura, Tomomichi
  • Ohira, Toru

Abstract

Group chase and escape is a new direction of studying collective behaviors merged with the traditional mathematical problems of chases and escapes proposed by Kamimura and Ohira in 2010. In their model, the chasers recognize only the escapees and pursue the nearest neighbor escapee, and the escapees recognize only the chasers and flee from the nearest neighbor chaser. We call the basic moving rule the nearest opponent interaction (NOI) strategy. In this paper we introduce a new strategy in the model. It is a local interaction that the chasers do not get too close each other, where we call the chasers’ local interaction (CLI) strategy. The result of comparisons of the two strategies shows that when the number of the chasers is relatively small compared to the number of the escapees, the trapping time by the CLI strategy is much shorter than that by the NOI strategy. On the other hand, when the number of the chasers is larger than that of the escapees, this advantage of the CLI strategy does not appear. Also, we find that although chasers form clusters (spatial aggregates of chasers) when we apply the NOI strategy, the clusters appear less when we apply the CLI strategy.

Suggested Citation

  • Saito, Takuya & Nakamura, Tomomichi & Ohira, Toru, 2016. "Group chase and escape model with chasers’ interaction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 447(C), pages 172-179.
    • Handle: RePEc:eee:phsmap:v:447:y:2016:i:c:p:172-179
    DOI: 10.1016/j.physa.2015.12.023
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    References listed on IDEAS

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    1. Máté Nagy & Zsuzsa Ákos & Dora Biro & Tamás Vicsek, 2010. "Hierarchical group dynamics in pigeon flocks," Nature, Nature, vol. 464(7290), pages 890-893, April.
    2. Nishi, Ryosuke & Kamimura, Atsushi & Nishinari, Katsuhiro & Ohira, Toru, 2012. "Group chase and escape with conversion from targets to chasers," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(1), pages 337-342.
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