DocumentCode
466909
Title
A Novel Strategy of Coalition Evolvement Based on Interest
Author
Yin Xiang ; Jiang Jianguo ; Xia Na
Author_Institution
Hefei Univ. of Technol., Hefei
Volume
1
fYear
2007
fDate
July 30 2007-Aug. 1 2007
Firstpage
611
Lastpage
615
Abstract
Cooperating and sharing resources by creating coalitions of agents are important ways for autonomous agents to execute tasks and to maximize their payoff. However coalition formation is a complex process which usually causes a mass of computation and communication. In this paper, we focus on situations where time is limited and coalitions may be formed as soon as possible. To address this problem, we have developed a novel strategy of coalition evolvement based on fuzzy interest and provide it with a modification rule. By theoretical analysis, we show the strategy is simple, efficient and easy to implement.
Keywords
fuzzy set theory; multi-agent systems; autonomous agent; coalition evolvement; fuzzy set theory; multiagent system; resource sharing; Artificial intelligence; Autonomous agents; Computational complexity; Computer networks; Concurrent computing; Distributed computing; Game theory; Information science; Software engineering; Stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on
Conference_Location
Qingdao
Print_ISBN
978-0-7695-2909-7
Type
conf
DOI
10.1109/SNPD.2007.356
Filename
4287580
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