Enforcing Truthful Strategies in Incentive Compatible Reputation Mechanisms

We commonly use the experience of others when taking decisions. Reputation mechanisms aggregate in a formal way the feedback collected from peers and compute the reputation of products, services, or providers. The success of reputation mechanisms is however conditioned on obtaining true feedback. Side-payments (i.e. agents get paid for submitting feedback) can make honest reporting rational (i.e. Nash equilibrium). Unfortunately, known schemes also have other Nash equilibria that imply lying. In this paper we analyze the equilibria of two incentive-compatible reputation mechanisms and investigate how undesired equilibrium points can be eliminated by using trusted reports.

[1]  Andreas Birk,et al.  Learning to Trust , 2000, Trust in Cyber-societies.

[2]  George D. Stamoulis,et al.  An incentives' mechanism promoting truthful feedback in peer-to-peer systems , 2005, CCGrid 2005. IEEE International Symposium on Cluster Computing and the Grid, 2005..

[3]  Munindar P. Singh,et al.  Detecting deception in reputation management , 2003, AAMAS '03.

[4]  David M. Kreps,et al.  Rational cooperation in the finitely repeated prisoners' dilemma , 1982 .

[5]  R. Jurca,et al.  "CONFESS" an incentive compatible reputation mechanism for the hotel booking industry , 2004, Proceedings. IEEE International Conference on e-Commerce Technology, 2004. CEC 2004..

[6]  Vincent Conitzer,et al.  Complexity Results about Nash Equilibria , 2002, IJCAI.

[7]  Karl Aberer,et al.  Managing trust in a peer-2-peer information system , 2001, CIKM '01.

[8]  Boi Faltings,et al.  An incentive compatible reputation mechanism , 2003, AAMAS '03.

[9]  Julian Padget,et al.  Agent-Mediated Electronic Commerce IV , 2002 .

[10]  R. Cooke Experts in Uncertainty: Opinion and Subjective Probability in Science , 1991 .

[11]  Yao-Hua Tan,et al.  Trust in Cyber-societies: Integrating the Human and Artificial Perspectives , 2000, Lecture Notes in Computer Science.

[12]  Chrysanthos Dellarocas,et al.  Goodwill Hunting: An Economically Efficient Online Feedback Mechanism for Environments with Variable Product Quality , 2002, AMEC.

[13]  Paul Resnick,et al.  Eliciting Informative Feedback: The Peer-Prediction Method , 2005, Manag. Sci..

[14]  Boi Faltings,et al.  CONFESS -- An Incentive Compatible Reputation Mechanism for the Online Hotel Booking Industry , 2004, CEC.