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Optimizing agent-based negotiations with branch-and-bound

  • Andy Hon Wai Chun
  • , Rebecca Y.M. Wong

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    Abstract

    This paper presents an algorithm called Nstar (N*) that performs optimizing agent-based negotiation. N* borrows concepts from branch-andbound and A* optimal search algorithms. The N* negotiation algorithm can be used for a general class of negotiation problems that requires consensus among two or more collaborating agents. N* schedules events through a negotiation protocol that mimics a process of proposing and counter proposing. It makes use of an evaluation function that represents an underestimation of the "global" preference for a particular proposal. This preference is computed based on a user preference model. An optimal solution is found when there is a compromise and the evaluation function is maximized. © Springer-Verlag Berlin Heidelberg 2001
    Original languageEnglish
    Title of host publicationActive Media Technology
    Subtitle of host publication6th International Computer Science Conference, AMT 2001, Hong Kong, China, December 18-20, 2001. Proceedings
    EditorsJiming Liu, Pong C. Yuen, Chun-hung Li, Joseph Ng, Toru Ishida
    PublisherSpringer 
    Pages235-243
    VolumeBerlin, Heidelberg
    ISBN (Electronic)978-3-540-45336-9
    ISBN (Print)9783540430353
    DOIs
    Publication statusPublished - 2001
    Event6th International Computer Science Conference on Active Media Technology (AMT 2001) - Hong Kong, China
    Duration: 18 Dec 200120 Dec 2001

    Publication series

    NameLecture Notes in Computer Science
    Volume2252
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference6th International Computer Science Conference on Active Media Technology (AMT 2001)
    PlaceChina
    CityHong Kong
    Period18/12/0120/12/01

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