Moderated pattern formations on trail-laying foraging
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- 作者：Tomoko Sakiyama ; Yukio-Pegio Gunji
- 关键词：Trail ; laying ; Swarm intelligence ; Chemical pheromones ; Multi ; agent model
- 刊名：Artificial Life and Robotics
- 出版年：2016
- 出版时间：September 2016
- 年：2016
- 卷：21
- 期：3
- 页码：253-257
- 全文大小：630 KB
- 刊物类别：Computer Science
- 刊物主题：Artificial Intelligence and Robotics
Computation by Abstract Devices
Automation and Robotics - 出版者：Springer Japan
- ISSN：1614-7456
- 卷排序：21
文摘
Here, we developed a multi-agent model to describe dynamical pattern formations using pheromones produced by each agent. We compared the balances between exploitation (one site is visited by many foragers) and exploration (many sites are visited by agents) of two algorithms. In both algorithms, agents linearly reacted to pheromone concentrations within their detection fields and changed detection fields depending on the differences between left and right pheromone concentrations. Thanks to this event, we succeeded in agents to produce ordered pattern formations at macro-levels even though each agent’s reactions to pheromones were set as linear reactions. However, agents could achieve more moderated pattern formations when they occasionally stopped changing detection fields by considering the relationship between global information (pheromone concentrations) and local information (moving directions of others).