Multi-Agent Decision Fusion and Its Application in Adversarial Multi-robot System
Bo Fan, Jiexin Pu · 2008
With the analysis and study of the decision in adversarial multi-robot system, a method to multi-agent decision fusion is presented. The architecture of decision fusion is built, in which observing agent model based on evidential reasoning, decision agent model based on TBM and decision fusion center model are designed. Also, the associative algorithms are provided. With the application and experiment in Robot Soccer, it is shown that this method has better performance and effectiveness for making decision in adversarial multi-robot system.