Moderated pattern formations on trail-laying foraging

Tomoko Sakiyama, Yukio Gunji

    Research output: Contribution to journalArticle

    Abstract

    Here, we developed a multi-agent model to describe dynamical pattern formations using pheromones produced by each agent. We compared the balances between exploitation (one site is visited by many foragers) and exploration (many sites are visited by agents) of two algorithms. In both algorithms, agents linearly reacted to pheromone concentrations within their detection fields and changed detection fields depending on the differences between left and right pheromone concentrations. Thanks to this event, we succeeded in agents to produce ordered pattern formations at macro-levels even though each agent’s reactions to pheromones were set as linear reactions. However, agents could achieve more moderated pattern formations when they occasionally stopped changing detection fields by considering the relationship between global information (pheromone concentrations) and local information (moving directions of others).

    Original languageEnglish
    Pages (from-to)1-5
    Number of pages5
    JournalArtificial Life and Robotics
    DOIs
    Publication statusAccepted/In press - 2016 Jul 23

    Keywords

    • Chemical pheromones
    • Multi-agent model
    • Swarm intelligence
    • Trail-laying

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Biochemistry, Genetics and Molecular Biology(all)

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