Title :
Multi-Agent Cooperation Based on Opponent´s Behavior Forecast
Author :
Ji, Chaoyang ; Wan, Hongyun
Author_Institution :
Educ. Technol. & Inf. Dept., Xuchang Univ., Xuchang, China
Abstract :
It is necessary that forecasting the opponent´s behavior effectively and exactly and then adopting corresponding strategies for MAS under dynamic environments to win in a competition. This paper brings forwards a new method of opponent´s behavior forecast and realizes the multi-agent cooperation using this method. Finally, it is proved that the method is feasible and effective in RoboCup simulate competition system.
Keywords :
game theory; multi-agent systems; RoboCup simulate competition system; dynamic environment; multi-agent cooperation based system; opponent behavior forecast; Artificial intelligence; Chaos; Collaboration; Educational technology; Humans; Intelligent agent; Legged locomotion; Multiagent systems; Robot kinematics; Technology forecasting;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3692-7
Electronic_ISBN :
978-1-4244-3693-4
DOI :
10.1109/WICOM.2009.5305780
