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Diverse stochasticity leads a colony of ants to optimal foraging.
Shiraishi, Masashi; Takeuchi, Rito; Nakagawa, Hiroyuki; Nishimura, Shin I; Awazu, Akinori; Nishimori, Hiraku.
Afiliación
  • Shiraishi M; Department of Mathematical and Life Sciences, Graduate School of Science, Hiroshima University, Kagamiyama, Higashi-hiroshima 739-8526, Japan; CREST, JST, Tokyo, Japan. Electronic address: m-shiraishi@hiroshima-u.ac.jp.
  • Takeuchi R; Yahoo Japan Corporation, Tokyo, Japan.
  • Nakagawa H; Department of Mathematical Sciences, Graduate School of Engineering, Osaka Prefecture University, Sakai 599-8531, Japan.
  • Nishimura SI; T & S Co. Ltd., MM Park Build., 3-6-3, Minatomirai, Nishi-ku, Yokohama, Kanagawa, Japan.
  • Awazu A; Department of Mathematical and Life Sciences, Graduate School of Science, Hiroshima University, Kagamiyama, Higashi-hiroshima 739-8526, Japan.
  • Nishimori H; Department of Mathematical and Life Sciences, Graduate School of Science, Hiroshima University, Kagamiyama, Higashi-hiroshima 739-8526, Japan. Electronic address: nishimor@hiroshima-u.ac.jp.
J Theor Biol ; 465: 7-16, 2019 03 21.
Article en En | MEDLINE | ID: mdl-30629963
A mathematical model of garden ants (Lasius japonicus) is introduced herein to investigate the relationship between the distribution of the degree of stochasticity in following pheromone trails and the group foraging efficiency. Numerical simulations of the model indicate that depending on the systematic change of the feeding environment, the optimal distribution of stochasticity shifts from a mixture of almost deterministic and mildly stochastic ants to a contrasted mixture of almost deterministic ants and highly stochastic ants. In addition, the interaction between the stochasticity and the pheromone path regulates the dynamics of the foraging efficiency optimization. Stochasticity could strengthen the collective efficiency when the variance in the sensitivity to pheromone for ants is introduced in the model.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Hormigas / Conducta Social / Algoritmos / Conducta Alimentaria / Modelos Biológicos Límite: Animals Idioma: En Revista: J Theor Biol Año: 2019 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Hormigas / Conducta Social / Algoritmos / Conducta Alimentaria / Modelos Biológicos Límite: Animals Idioma: En Revista: J Theor Biol Año: 2019 Tipo del documento: Article