Autonomous change of behavior for environmental context

An intermittent search model with misunderstanding search pattern

Hisashi Murakami, Yukio Gunji

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Although foraging patterns have long been predicted to optimally adapt to environmental conditions, empirical evidence has been found in recent years. This evidence suggests that the search strategy of animals is open to change so that animals can flexibly respond to their environment. In this study, we began with a simple computational model that possesses the principal features of an intermittent strategy, i.e., careful local searches separated by longer steps, as a mechanism for relocation, where an agent in the model follows a rule to switch between two phases, but it could misunderstand this rule, i.e., the agent follows an ambiguous switching rule. Thanks to this ambiguity, the agent's foraging strategy can continuously change. First, we demonstrate that our model can exhibit an optimal change of strategy from Brownian-type to Lévy-type depending on the prey density, and we investigate the distribution of time intervals for switching between the phases. Moreover, we show that the model can display higher search efficiency than a correlated random walk.

    Original languageEnglish
    Title of host publicationInternational Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2016
    PublisherAmerican Institute of Physics Inc.
    Volume1863
    ISBN (Electronic)9780735415386
    DOIs
    Publication statusPublished - 2017 Jul 21
    EventInternational Conference of Numerical Analysis and Applied Mathematics 2016, ICNAAM 2016 - Rhodes, Greece
    Duration: 2016 Sep 192016 Sep 25

    Other

    OtherInternational Conference of Numerical Analysis and Applied Mathematics 2016, ICNAAM 2016
    CountryGreece
    CityRhodes
    Period16/9/1916/9/25

    Fingerprint

    animals
    relocation
    random walk
    ambiguity
    switches
    intervals

    ASJC Scopus subject areas

    • Physics and Astronomy(all)

    Cite this

    Murakami, H., & Gunji, Y. (2017). Autonomous change of behavior for environmental context: An intermittent search model with misunderstanding search pattern. In International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2016 (Vol. 1863). [360006] American Institute of Physics Inc.. https://doi.org/10.1063/1.4992535

    Autonomous change of behavior for environmental context : An intermittent search model with misunderstanding search pattern. / Murakami, Hisashi; Gunji, Yukio.

    International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2016. Vol. 1863 American Institute of Physics Inc., 2017. 360006.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Murakami, H & Gunji, Y 2017, Autonomous change of behavior for environmental context: An intermittent search model with misunderstanding search pattern. in International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2016. vol. 1863, 360006, American Institute of Physics Inc., International Conference of Numerical Analysis and Applied Mathematics 2016, ICNAAM 2016, Rhodes, Greece, 16/9/19. https://doi.org/10.1063/1.4992535
    Murakami H, Gunji Y. Autonomous change of behavior for environmental context: An intermittent search model with misunderstanding search pattern. In International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2016. Vol. 1863. American Institute of Physics Inc. 2017. 360006 https://doi.org/10.1063/1.4992535
    Murakami, Hisashi ; Gunji, Yukio. / Autonomous change of behavior for environmental context : An intermittent search model with misunderstanding search pattern. International Conference of Numerical Analysis and Applied Mathematics, ICNAAM 2016. Vol. 1863 American Institute of Physics Inc., 2017.
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