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J Theor Biol

Title:		Diverse stochasticity leads a colony of ants to optimal foraging
Author(s):		Shiraishi M; Takeuchi R; Nakagawa H; Nishimura SI; Awazu A; Nishimori H;
Address:		"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. Yahoo Japan Corporation, Tokyo, Japan. Department of Mathematical Sciences, Graduate School of Engineering, Osaka Prefecture University, Sakai 599-8531, Japan. T & S Co. Ltd., MM Park Build., 3-6-3, Minatomirai, Nishi-ku, Yokohama, Kanagawa, Japan. Department of Mathematical and Life Sciences, Graduate School of Science, Hiroshima University, Kagamiyama, Higashi-hiroshima 739-8526, Japan. 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"
Journal Title:		J Theor Biol
Year:		2019
Volume:		20190107
Issue:
Page Number:		7 - 16
DOI:		10.1016/j.jtbi.2019.01.002
ISSN/ISBN:		1095-8541 (Electronic) 0022-5193 (Linking)
Abstract:		"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"
Keywords:		"*Algorithms Animals Ants/metabolism/*physiology Feeding Behavior/*physiology *Models, Biological Pheromones/metabolism/physiology *Social Behavior Stochastic Processes Ants Collective motion Optimization Stochastic foraging;"
Notes:		"MedlineShiraishi, Masashi Takeuchi, Rito Nakagawa, Hiroyuki Nishimura, Shin I Awazu, Akinori Nishimori, Hiraku eng Research Support, Non-U.S. Gov't England 2019/01/11 J Theor Biol. 2019 Mar 21; 465:7-16. doi: 10.1016/j.jtbi.2019.01.002. Epub 2019 Jan 7"