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
Link To Document :
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