SIMULATION FOR BEHAVIOR LEARNING OF MULTIAGENT ROBOT

Authors
Citation
Y. Maeda, SIMULATION FOR BEHAVIOR LEARNING OF MULTIAGENT ROBOT, Journal of intelligent & fuzzy systems, 6(1), 1998, pp. 53-64
Citations number
9
Language
INGLESE
art.tipo
Article
Categorie Soggetti
Computer Science Artificial Intelligence","Computer Science Artificial Intelligence
ISSN journal
1064-1246
Volume
6
Issue
1
Year of publication
1998
Pages
53 - 64
Database
ISI
SICI code
1064-1246(1998)6:1<53:SFBLOM>2.0.ZU;2-F
Abstract
In our research, the evolutionary algorithm is applied to behavior lea rning of an individual agent in multi-agent robots. Each robot, which is an agent, is given two behavior duties, collision avoidance from ot her agents and target (food point) reaching for recovering self-energy . Addressing the problem of two conflicting behaviors, collision avoid ance and target reaching motion of multi-agent robots, the learning me thod to change the self-energy and the behavior gain of each agent is discussed in this paper. Each agent has the same rules and is controll ed as a homogeneous distributed system without any central or hierarch ical control. Furthermore, we perform a simulation with the additional algorithm of a group evolution in which the parameters of the most ex cellent agent are copied to a dead agent, that is, an agent that has l ost its energy. The simulation confirmed that each agent has the abili ties of behavior learning and group evolution.