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SHIRAISHI MASASHI
Department Organization , Organization for the Strategic Coordination of Research and Intellectual Properties Position Associate Professor (non-tenured) |
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| Language | English |
| Publication Date | 2019/03 |
| Type | Academic Journal |
| Peer Review | Peer reviewed |
| Title | Diverse stochasticity leads a colony of ants to optimal foraging. |
| Contribution Type | Co-authored (first author) |
| Journal | Journal of theoretical biology |
| Journal Type | Another Country |
| Volume, Issue, Page | 465,pp.7-16 |
| Author and coauthor | Shiraishi Masashi, Takeuchi Rito, Nakagawa Hiroyuki, Nishimura Shin I, Awazu Akinori, Nishimori Hiraku |
| Details | 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. |
| DOI | 10.1016/j.jtbi.2019.01.002 |
| ISSN | 1095-8541 |
| PMID | 30629963 |