• DocumentCode
    2859999
  • Title

    Eliciting Truthful Feedback for Binary Reputation Mechanisms

  • Author

    Jurca, Radu ; Faltings, Boi

  • Author_Institution
    Swiss Federal Institute of Technology (EPFL), Switzerland
  • fYear
    2004
  • fDate
    20-24 Sept. 2004
  • Firstpage
    214
  • Lastpage
    220
  • Abstract
    Reputation mechanisms offer an efficient way of building the necessary level of trust in electronic markets. Feedback about an agent´s past behavior can be aggregated into a measure of reputation, and used by other agents for taking trust decisions. Unfortunately, true feedback cannot be automatically assumed. In the absence of Trusted Third Parties, the mechanism has to make it rational for agents to truthfully share reputation information. In this paper we describe two mechanisms that can be used in decentralized environments for eliciting true feedback. The mechanisms are accompanied by examples inspired by real scenarios.
  • Keywords
    Artificial intelligence; Business communication; Computer science; Consumer electronics; Decision making; Feedback; Games; Humans; Internet; Laboratories;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence, 2004. WI 2004. Proceedings. IEEE/WIC/ACM International Conference on
  • Print_ISBN
    0-7695-2100-2
  • Type

    conf

  • DOI
    10.1109/WI.2004.10137
  • Filename
    1410806