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Directional ambiguity in trail-laying algorithms

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  • Sakiyama, Tomoko
  • Gunji, Yukio-Pegio

Abstract

We developed multi-agent models inspired by ant foraging. Previous research shows that ants obey Weber’s law and change their moving angles based on pheromone conditions. We constructed trail-laying models in which agents estimate the global pheromone gradients based on local pheromone gradients, which resulting in emergent Weber’s law. Agents were also admitted to use directional cues based on motions of other local agents to produce realistic curved paths. We also showed that re-estimation of pheromone gradients based on directional cues yields a balance between exploitation and exploration.

Suggested Citation

  • Sakiyama, Tomoko & Gunji, Yukio-Pegio, 2016. "Directional ambiguity in trail-laying algorithms," Ecological Modelling, Elsevier, vol. 340(C), pages 37-44.
    • Handle: RePEc:eee:ecomod:v:340:y:2016:i:c:p:37-44
    DOI: 10.1016/j.ecolmodel.2016.09.001
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    References listed on IDEAS

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    1. Grimm, Volker & Berger, Uta & DeAngelis, Donald L. & Polhill, J. Gary & Giske, Jarl & Railsback, Steven F., 2010. "The ODD protocol: A review and first update," Ecological Modelling, Elsevier, vol. 221(23), pages 2760-2768.
    2. Audrey Dussutour & Vincent Fourcassié & Dirk Helbing & Jean-Louis Deneubourg, 2004. "Optimal traffic organization in ants under crowded conditions," Nature, Nature, vol. 428(6978), pages 70-73, March.
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