Modeling “Info-chemical” Mediated Ecological System by using Multi Agent System

Yasuhiro Suzuki, Megumi Sakai

2013

Abstract

We model and simulate an ecological system, where each agent (plants, herbivores and carnivores) communicate with each other by using communication languages of chemical volatiles (info-chemical signals). This info-chemical signals are produced by plants when they are suffered from feeding damage of herbivores and natural enemy (carnivores) of the herbivores are attracted by the signal. In this ecological system, since carnivores learn the signal and trace it, plants try to endure the feeding damage until the population of herbivores become large and enough herbivores can supply for the carnivores, otherwise carnivores are not to be attracted by the signal and try to explore more valuable signal. However, it has reported that, some mutated plants produce chemical signals soon even if there are few or no herbivores and attract carnivores (cry wolf plants). We model the ecological system which cry wolf plants by using the MAS. without geographic space and with geographic space. And we confirm that in the both types of models, in order to escape from cry wolf plants, “honest plants” produce different types of signals so various types of signals emerge. Interestingly, in the system with geographic space, if there is a “colony” of cry wolf plants then signal does not evolve and honest signal and cry wolf signal can coexist.

Paper Citation

in Harvard Style

Suzuki Y. and Sakai M. (2013). Modeling “Info-chemical” Mediated Ecological System by using Multi Agent System . In Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-8565-38-9, pages 318-323. DOI: 10.5220/0004332803180323

in Bibtex Style

@conference{icaart13,
author={Yasuhiro Suzuki and Megumi Sakai},
title={Modeling “Info-chemical” Mediated Ecological System by using Multi Agent System},
booktitle={Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2013},
pages={318-323},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004332803180323},
isbn={978-989-8565-38-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Modeling “Info-chemical” Mediated Ecological System by using Multi Agent System
SN - 978-989-8565-38-9
AU - Suzuki Y.
AU - Sakai M.
PY - 2013
SP - 318
EP - 323
DO - 10.5220/0004332803180323