Dynamic coalition formation in robotic soccer

John Anderson, Brian Tanner, Jacky Baltes

Research output: Contribution to conferencePaper

7 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages1-10
Number of pages10
Publication statusPublished - 2004 Dec 1
Event19th National Conference on Artificial Intelligence - San Jose, CA, United States
Duration: 2004 Jul 252004 Jul 26

Other

Other19th National Conference on Artificial Intelligence
CountryUnited States
CitySan Jose, CA
Period04/7/2504/7/26

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Anderson, J., Tanner, B., & Baltes, J. (2004). Dynamic coalition formation in robotic soccer. 1-10. Paper presented at 19th National Conference on Artificial Intelligence, San Jose, CA, United States.