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International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems

IEA/AIE 2007: New Trends in Applied Artificial Intelligence pp 935–942Cite as

The Theory of Maximal Social Welfare Feasible Coalition

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 4570)

Abstract

This paper proposes a new theory for forming a maximum-value-cooperation coalition known as the Maximal Social Welfare Feasible Coalition. This theory can give such solution because it does not assume that each player requesting to join a coalition knows information of other players. However, all players’ private information requesting to join the coalition is known by an honest coordinator. This allows the coordinator to select a coalition structure with maximal value of cooperation among successful players so as they get at least at their required minimum values. Not only this maximal value is shown to be equal to or larger than the value of a core coalition but also the value allocation is shown to be Pareto optimal.

Keywords

  • cooperative game theory
  • coalition formation
  • Pareto optimality
  • the core
  • group buying

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  • DOI: 10.1007/978-3-540-73325-6_93
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Author information

Authors and Affiliations

  1. Department of Computer Engineering, King Mongkut University of Technology Thonburi, Bangkok, Thailand

    Laor Boongasame

  2. Department of Mathematics and Computer Science, King Mongkut’s Institue of Technology Ladkrabang, Bangkok, Thailand

    Veera Boonjing

  3. Department of Computer Science and Engineering, The Chinese University of Hong Kong, Sha Tin, Hong Kong, P.R. China

    Ho-fung Leung

Authors
  1. Laor Boongasame
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  2. Veera Boonjing
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  3. Ho-fung Leung
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    © 2007 Springer Berlin Heidelberg

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    Boongasame, L., Boonjing, V., Leung, Hf. (2007). The Theory of Maximal Social Welfare Feasible Coalition. In: Okuno, H.G., Ali, M. (eds) New Trends in Applied Artificial Intelligence. IEA/AIE 2007. Lecture Notes in Computer Science(), vol 4570. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73325-6_93

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    • DOI: https://doi.org/10.1007/978-3-540-73325-6_93

    • Publisher Name: Springer, Berlin, Heidelberg

    • Print ISBN: 978-3-540-73322-5

    • Online ISBN: 978-3-540-73325-6

    • eBook Packages: Computer ScienceComputer Science (R0)