Cooperation and negotiation in MAS, hybrid intelligent learning algorithm and application in robot soccer
Zhang Shu-jun · Ha'erbin gongye daxue xuebao · 2003
Multi-agent System is a mayor branch of Distributed Artificial Intelligence (DAI) and one of its re- search focuses is agent learning algorithm. To solve more complex problems appeared nowadays, cooperation negotiation and agent learning techniques in MAS are studied, a new hybrid intelligent learning algorithm is proposed to combine individual learning group learning efffectively and improve agent's individual ability and the system's intelligence level. The specific application and experimental results in robot soccer prove the feasibility and validity of this algorithm.