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Engaging the Dynamics of Trust in Computational Trust and Reputation Systems

  • Agnieszka Danek
  • Joana Urbano
  • Ana Paula Rocha
  • Eugénio Oliveira
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6070)

Abstract

Computational Trust and Reputation (CTR) systems are essential in electronic commerce to encourage interactions and suppress deceptive behaviours. This paper focus on comparing two different kinds of approaches to evaluate the trustworthiness of suppliers. One is based on calculating the weighted mean of past results. The second one applies basic properties of the dynamics of trust. Different scenarios are investigated, including a more problematic one that results from introducing newcomers during the simulation. Experimental results presented in this paper prove the benefits of engaging properties of the dynamics of trust in CRT systems, as it noticeably improves the process of business partners’ selection and increases the utility.

Keywords

Trust Model Multiagent System Business Partner Trust Score Reputation System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Ramchurn, S., Sierra, C., Godo, L., Jennings, N.R.: Devising a trust model for multi-agent interactions using confidence and reputation. Int. J. Applied Artificial Intelligence 18, 833–852 (2004)CrossRefGoogle Scholar
  2. 2.
    Sabater, J.: Trust and Reputation for Agent Societies. Monografies de lÖinstitut dÖinvestigacio en intelligència artificial, vol. 20. IIIA-CSIC (2003)Google Scholar
  3. 3.
    Carbo, J., Molina, J., Davila, J.: A BDI Agent Architecture for Reasoning about Reputation. IEEE Int. Conf. on Systems, Man, and Cybernetics (2001)Google Scholar
  4. 4.
    Jøsang, A., Ismail, R.: The Beta Reputation System. In: 15th Bled Electronic Commerce Conference, Sloven (2002)Google Scholar
  5. 5.
    Reece, S., Rogers, A., Roberts, S., Jennings, N.R.: A Multi-Dimensional Trust Model for Heterogeneous Contract Observations. In: 22nd AAAI Conf. on Artificial Intelligence (2007)Google Scholar
  6. 6.
    Zacharia, G., Maes, P.: Trust management through reputation mechanisms. Applied Artificial Intelligence 14(9), 881–908 (2000)CrossRefGoogle Scholar
  7. 7.
    Haller, J.: A Bayesian Reputation System for Virtual Organizations. In: Dagstuhl Seminar Proceedings 06461, Negotiation and Market Engineering (2006)Google Scholar
  8. 8.
    Erete, I., Ferguson, E., Sen, S.: Learning task-specific trust decisions. In: 7th Int. J. Conf. on Autonomous Agents and Multiagent Systems, Portugal, vol. 3 (2008)Google Scholar
  9. 9.
    Smith, M., desJardins, M.: Learning to trust in the Competence and Commitment of Agents. Autonomous Agent Multi-Agent Systems 18, 36–82 (2009)CrossRefGoogle Scholar
  10. 10.
    Urbano, J., Rocha, A.P., Oliveira, E.: Computing Confidence Values: Does Trust Dynamics Matter? In: Seabra Lopes, L., Lau, N., Mariano, P., Rocha, L.M. (eds.) EPIA 2009. LNCS, vol. 5816, pp. 520–531. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  11. 11.
    Bosse, T., Jonker, C.M., Treur, J., Tykhonov, D.: Formal Analysis of Trust Dynamics in Human and Software Agent Experiments. In: Klusch, M., Hindriks, K.V., Papazoglou, M.P., Sterling, L. (eds.) CIA 2007. LNCS (LNAI), vol. 4676, pp. 343–359. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  12. 12.
    Huynh, T.D., Jennings, N.R., Shadbolt, N.R.: An integrated trust and reputation model for open multi-agent systems. Autonomous Agents and Multi-Agent Systems 13(2), 119–154 (2006)CrossRefGoogle Scholar
  13. 13.
    Straker, D.: Changing Minds: in Detail. Syque Press (2008)Google Scholar
  14. 14.

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Agnieszka Danek
    • 1
  • Joana Urbano
    • 1
  • Ana Paula Rocha
    • 1
  • Eugénio Oliveira
    • 1
  1. 1.Faculdade de Engenharia da Universidade do Porto — DEILIACC — Laboratory of Artificial Intelligence and Computer Science at University of PortoPortoPortugal

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