• DocumentCode
    1713989
  • Title

    An Adaptive Prediction-Regret Driven Strategy for Bilateral Bargaining

  • Author

    Ji, Shu-Juan ; Leung, Ho-fung

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Shandong Univ. of Sci. & Technol., Qingdao, China
  • Volume
    2
  • fYear
    2010
  • Firstpage
    11
  • Lastpage
    14
  • Abstract
    This paper presents an adaptive prediction-regret driven negotiation strategy for bilateral bargaining without modeling opponents, which combines the prediction idea in heuristic method and the regret principle in psychology. Experimental results show that agents that employ this strategy outperform agents that use other strategies previously proposed in the literature.
  • Keywords
    multi-agent systems; negotiation support systems; adaptive prediction-regret driven negotiation strategy; adaptive prediction-regret driven strategy; bilateral bargaining; heuristic method; modeling opponents; psychology; regret principle; Adaptation model; Artificial neural networks; Bayesian methods; Markov processes; Prediction methods; Training; bargain; experimental analysis; heuristic method; negotiation strategy; prediction; regret;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence (ICTAI), 2010 22nd IEEE International Conference on
  • Conference_Location
    Arras
  • ISSN
    1082-3409
  • Print_ISBN
    978-1-4244-8817-9
  • Type

    conf

  • DOI
    10.1109/ICTAI.2010.77
  • Filename
    5671438