Dynamic Cooperation Algorithm in Multi-Agent System Based on State Prediction
Xiaoyong Zhang · Jisuanji fangzhen · 2008
A new technique was proposed for the multi-agent cooperation problem in a complicated dynamic environment. The technique,which was an optimized cooperation algorithm,was based on the information processing and state predicting. The proposed algorithm,which taken the effect of other agents into account fully,adopted importance function and information processing method to filter and process the acquired information. A state prediction method was used to predict the behavior of agents and the trend of the system states during the cooperation process. Consequently,the multi-agent dynamic cooperation model was established according with the new task and the new balanced state. This technique is successfully used in the RoboCupRescue simulation team and validates the generalization and validity of the cooperation algorithm.