Dynamic coalition formation in robotic soccer

John Anderson*, Brian Tanner, Jacky Baltes


研究成果: 會議貢獻類型會議論文同行評審

8 引文 斯高帕斯(Scopus)


The ability to form coalitions of agents is central to multiagent problem-solving. However, most multi-agent systems research still takes the view that teams are simply provided - an invalid assumption in most real-world situations. This paper describes an approach to forming coalitions of agents in robotic soccer, a domain where the dynamic nature of the environment plays a key role. We describe how agents that can learn about the abilities of others can form a coalition of the better-playing agents on the team, and show that this can be used to improve the performance of a team consisting of agents with varying skill levels. We also show that this mechanism is a useful one in a setting where agents are learning to play soccer, in order to form a coalition of agents from which to learn.

出版狀態已發佈 - 2004
事件19th National Conference on Artificial Intelligence - San Jose, CA, 美国
持續時間: 2004 7月 252004 7月 26


其他19th National Conference on Artificial Intelligence
城市San Jose, CA

ASJC Scopus subject areas

  • 一般工程


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