Modulation effect with global ambiguity in 2-dimensional random walk

Tomoko Sakiyama, Yukio Gunji

    研究成果: Conference contribution

    抄録

    Here, we developed 2-dimensional multi agent random walk algorithm. In our algorithm, agents interact with each other and change their directional rules by detecting other agents' moving direction locally. In addition to that, modulation effects in which agents control rule intervals depending on amount of local other agents are equipped to our model. We show that modulation effects which introduce global ambiguity play a crucial role to establish optimal random walk by checking the slope value (μ) depending on dense of agents. We set modulation-added model and non-modulation model. The latter is control model. In case of non-modulation model, the slope values (μ) highly depends on dense of agents. However, in case of modulation-added model, the slope values (μ) are flexible and independent from dense of agents.

    本文言語English
    ホスト出版物のタイトルAIP Conference Proceedings
    出版社American Institute of Physics Inc.
    1648
    ISBN(印刷版)9780735412873
    DOI
    出版ステータスPublished - 2015 3 10
    イベントInternational Conference on Numerical Analysis and Applied Mathematics 2014, ICNAAM 2014 - Rhodes, Greece
    継続期間: 2014 9 222014 9 28

    Other

    OtherInternational Conference on Numerical Analysis and Applied Mathematics 2014, ICNAAM 2014
    国/地域Greece
    CityRhodes
    Period14/9/2214/9/28

    ASJC Scopus subject areas

    • 物理学および天文学(全般)

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