• DocumentCode
    3570312
  • Title

    E-Commerce Automated Negotiation Model Research Based on Multi-agent

  • Author

    Kang Ronglong ; Jiang Tongqiang

  • Author_Institution
    Sch. of Comput. & Inf. Eng., Beijing Technol. & Bus. Univ., Beijing, China
  • Volume
    1
  • fYear
    2013
  • Firstpage
    452
  • Lastpage
    455
  • Abstract
    At present, Intelligent Agent negotiation system has become a popular tool used in e-commerce with the development of artificial intelligence and Agent Technology. In the background, this paper presents an Intelligent Agent negotiation model to assist users in e-commerce negotiations. In this model, the mechanism of Bayesian learning method is introduced, and the negotiations Agent change negotiations beliefs through Bayesian learning, so that the negotiating parties agree or terminate the negotiations faster. Finally, the negotiation model compared with the model which not use Bayesian learning mechanism, and found that, Agent can adjust the negotiation strategy better in the negotiating process in this model, and the efficiency of negotiations is improved.
  • Keywords
    Bayes methods; electronic commerce; learning (artificial intelligence); multi-agent systems; Bayesian learning method mechanism; agent technology; artificial intelligence development; e-commerce automated negotiation model research; intelligent agent negotiation system; multiagent system; Bayes methods; Computational modeling; Educational institutions; Learning systems; Proposals; Protocols; Agent; Automatic negotiation; Bayesian learning; Electronic commerce;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on
  • Print_ISBN
    978-0-7695-5011-4
  • Type

    conf

  • DOI
    10.1109/IHMSC.2013.114
  • Filename
    6643926