• DocumentCode
    1901551
  • Title

    Research of the Strategy in Multi-Issue Negotiations Deadlock

  • Author

    Zhang Chao Yang ; Shen Yang ; Zhou Qing Lei ; Zhao Yi Lin ; Wang Zhen Fei

  • Author_Institution
    Sch. of Inf. Eng., Zhengzhou Univ., Zhengzhou, China
  • fYear
    2010
  • fDate
    25-26 Dec. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    To solve the problem of deadlock occurred in multi-issue negotiation, an optimization strategy is presented in this paper, which uses a learning method to estimate opponents´ preferences of their negotiation issue, and gives full consideration to the issue dependencies. Considering the weighted value of the opponent, we adjust the reserved value of some issues accordingly, by which we can achieve the purpose of solving the deadlock problem quickly and efficiently, and the negotiation participants can get a reasonable solution at the same time. Experimental results prove the efficiency of the whole negotiation process.
  • Keywords
    learning (artificial intelligence); optimisation; learning method; multi-issue negotiation deadlock; negotiation process; optimization strategy; Learning systems; Nickel; Optimization; Proposals; Sorting; System recovery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
  • Conference_Location
    Wuhan
  • ISSN
    2156-7379
  • Print_ISBN
    978-1-4244-7939-9
  • Electronic_ISBN
    2156-7379
  • Type

    conf

  • DOI
    10.1109/ICIECS.2010.5678371
  • Filename
    5678371