An Analysis of the Ant Swarm Behaviour for Quarum Sensing: A New Direction for Bio-inspired Computing in Optimization
Departmental Seminar
- When?
- Tuesday 21 August 2012, 14:00 to 15:00
- Where?
- 39 BB 02
- Open to:
- Public, Staff, Students
- Speaker:
- Prof Hide Sasaki, Ritsumeikan University, Kyoto, Japan
Ant traffic flow increases with growing density. This characteristic phenomenon is different from any other systems of traffic flow. In this talk, I would describe a computational model for density-independent traffic flow in ant colonies that transport to new nests. Ants have two types of swarm behaviour: emigration and foraging. A precedence model in computational ecology focused on foraging trails. However, ants move on a much larger scale during emigration. They gauge nest density by frequent close approaches among them and time the transport of colony. This density assessment behaviour known as quorum sensing has not been discussed in the context of traffic flow theory. Based on the behaviour, we model ant traffic flow that is organized without the influence of changes in population density of colonies. The proposed model predicts that density-independent ant traffic flow only depends on the frequency of mutual close approaches. I would show how to verify this estimation of our model in comparison with robust empirical data that ant experts obtained from field researches. I would indicate how to organize a study of computational ecology, and in which direction you may expect technical contributions using the proposed model.
Biography
Professor Sasaki works in computational ecology. Before he moved to the area of study, Professor Sasaki elaborated in decision science, soft computing and database systems. His current interest is modelling the ant swarm behaviour and exploring traffic flow model from that. He modelled the swarm behaviour known as quorum sensing into a computational formulation and compared its simulation result to the data obtained from field researches. The presentation given on the date discusses the recent development of his research.
He is a member of the IEEE CIS ETTC and serves as a task force chair on Bio-Inspired Self-Organizing Collective Systems. Professor Sasaki is the founding and current Editor-in-Chief of the International Journal of Organizational and Collective Intelligence (IJOCI) that is published from IGI Global, N.J., USA.
Professor Sasaki is tenured as an associate professor of computer science at Ritsumeikan University in Kyoto, Japan. He is a visiting professor at VSB Technical University of Ostrava, Czech Republic and an honorary research associate at The Chinese University of Hong Kong.