• DocumentCode
    1813804
  • Title

    Negotiation Model Based on Neural Network and Case-based Reasoning

  • Author

    Dong, Shaobin

  • Author_Institution
    Huiyin Inst. of Technol., Huaian, China
  • fYear
    2010
  • fDate
    29-31 July 2010
  • Firstpage
    163
  • Lastpage
    166
  • Abstract
    Electronic negotiations are becoming an important research subject in the area of electronic commerce. Successful experience of the human traditional negotiation is the valuable learning resources of automatic negotiation. Automated negotiation model can learn from past experience in negotiation, reason, and give a reasonable choice of negotiations on a new strategy. The ANN and the CBR are two approaches of Artificial Intelligence that use similarity in an extensive way. Case-based reasoning and neural network have a natural link between the two. So it is put forward model of the negotiations based on neural network and case-based reasoning. It can lead that negotiation can be achieved very good results.
  • Keywords
    case-based reasoning; neural nets; software agents; artificial intelligence; automatic negotiation; case based reasoning; electronic commerce; electronic negotiations; negotiation model; neural network; Artificial intelligence; Artificial neural networks; Cognition; Consumer electronics; Electronic commerce; Neurons; Proposals; ANN; CBR; Negotiation Model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Commerce and Security (ISECS), 2010 Third International Symposium on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4244-8231-3
  • Electronic_ISBN
    978-1-4244-8231-3
  • Type

    conf

  • DOI
    10.1109/ISECS.2010.44
  • Filename
    5557411