Skip to main content

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3435))

Included in the following conference series:

Abstract

Reputation mechanisms offer an efficient way of building the necessary level of trust in electronic markets. In the absence of independent verification authorities that can reveal the true outcome of a transaction, market designers have to ensure that it is in the best interest of the trading agents to report the behavior in transactions truthfully. As opposed to side-payment schemes that correlate a present report with future reports submitted about the same agent, we present a mechanism we have called “CONFESS”, that discovers (in equilibrium) the true outcome of a transaction by analyzing the two reports coming from the agents involved in the exchange. For two long-run rational agents, we show that it is possible to design such a mechanism that makes cooperation a stable equilibrium.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Birk, A.: Learning to Trust. In: Falcone, R., Singh, M., Tan, Y.-H. (eds.) AA-WS 2000. LNCS (LNAI), vol. 2246, pp. 133–144. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  2. Biswas, A., Sen, S., Debnath, S.: Limiting Deception in a Group of Social Agents. Applied Artificial Intelligence 14, 785–797 (2000)

    Article  Google Scholar 

  3. Dellarocas, C.: Goodwill Hunting: An Economically Efficient Online Feedback Mechanism for Environments with Variable Product Quality. In: Padget, J., Shehory, O., Parkes, D.C., Sadeh, N.M., Walsh, W.E. (eds.) AMEC 2002. LNCS, vol. 2531, pp. 238–252. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  4. Dellarocas, C.: Efficiency and Robustness of Binary Feedback Mechanisms in Trading Environments with Moral Hazard. MIT Sloan Working Paper #4297-03 (2003)

    Google Scholar 

  5. Friedman, E., Resnick, P.: The Social Cost of Cheap Pseudonyms. Journal of Economics and Management Strategy 10(2), 173–199 (2001)

    Article  Google Scholar 

  6. Fudenberg, D., Levine, D.: Reputation and Equilibrium Selection in Games with a Patient Player. Econometrica 57, 759–778 (1989)

    Article  MATH  MathSciNet  Google Scholar 

  7. Fudenberg, D., Maskin, E.: The Folk Theorem in Repeated Games with Discounting or Incomplete Information. Econometrica 54(3), 533–554 (1989)

    Article  MathSciNet  Google Scholar 

  8. Jurca, R., Faltings, B.: An Incentive-Compatible Reputation Mechanism. In: Proceedings of the IEEE Conference on E-Commerce, Newport Beach, CA, USA (2003)

    Google Scholar 

  9. Jurca, R., Faltings, B.: Truthful reputation information in electronic markets without independent verification. Technical Report ID: IC/2004/08, EPFL (2004), http://ic2.epfl.ch/publications

  10. Kreps, D.M., Milgrom, P., Roberts, J., Wilson, R.: Rational Cooperation in the Finitely Repeated Pisoner’s Dilemma. Journal of Economic Theory 27, 245–252 (1982)

    Article  MATH  MathSciNet  Google Scholar 

  11. Kreps, D.M., Wilson, R.: Reputation and Imperfect Information. Journal of Economic Theory 27, 253–279 (1982)

    Article  MATH  MathSciNet  Google Scholar 

  12. Milgrom, P., Roberts, J.: Predation, Reputation and Entry Deterrence. J. Econ. Theory 27, 280–312 (1982)

    Article  MATH  MathSciNet  Google Scholar 

  13. Miller, N., Resnick, P., Zeckhauser, R.: Eliciting Honest Feedback in Electronic Markets. Working Paper (2003)

    Google Scholar 

  14. Schmidt, K.M.: Reputation and Equilibrium Characterization in Repeated Games with Conflicting Interests. Econometrica 61, 325–351 (1993)

    Article  MATH  MathSciNet  Google Scholar 

  15. Selten, R.: The Chain-Store Paradox. Theory and Decision 9, 127–159 (1978)

    Article  MATH  MathSciNet  Google Scholar 

  16. Yu, B., Singh, M.: An Evidential Model of Distributed Reputation Management. In: Falcone, R., Barber, S., Korba, L., Singh, M.P. (eds.) AAMAS 2002. LNCS (LNAI), vol. 2631. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Jurca, R., Faltings, B. (2006). “CONFESS”. Eliciting Honest Feedback Without Independent Verification Authorities. In: Faratin, P., Rodríguez-Aguilar, J.A. (eds) Agent-Mediated Electronic Commerce VI. Theories for and Engineering of Distributed Mechanisms and Systems. AMEC 2004. Lecture Notes in Computer Science(), vol 3435. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11575726_5

Download citation

  • DOI: https://doi.org/10.1007/11575726_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29737-6

  • Online ISBN: 978-3-540-33166-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics