Multi-Agent Cooperation Based on Opponent's Behavior Forecast
Chaoyang Ji, Hongyun Wan · 2009
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.