Advertisement

A Dynamic Agents’ Behavior Model for Computational Trust

  • Joana Urbano
  • Ana Paula Rocha
  • Eugénio Oliveira
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7026)

Abstract

The development of computational trust models is growing in attention in the community of multi-agent systems and these models are currently seen as of extreme importance in social networks, electronic business and grid computing, among others. However, one of the biggest limitations in validating the existing computational trust models is the absence of realistic models of the behavior of agents. In fact, most of the work done in this area assumes that agents behave following simple and static probabilistic models. In this paper, we present a formal model of behavior of business agents that entail in inter-organizational exchanges, taking as basis diverse literature on socio-economic theories. With this model, we empirically show that some of the computational trust approaches which are more cited in the literature are not able to capture the temporal dynamics in the behavior of the business agents. Based on the results obtained from this study, we enumerate different properties that must be present in computational trust models in order to couple with realistic agents’ behavior.

Keywords

Computational Trust Behavior Models 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Bachmann, R.: Trust, power and control in trans-organizational relations. Organization Studies 22(2), 337–365 (2001)CrossRefGoogle Scholar
  2. 2.
    Heimer, C.: Solving the problem of trust. In: Cook, K.S. (ed.) Trust in Society. Russell Sage Foundation Series on Trust, pp. 40–88 (2001)Google Scholar
  3. 3.
    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, 119–154 (2006)CrossRefGoogle Scholar
  4. 4.
    Ireland, R.D., Webb, J.W.: A multi-theoretic perspective on trust and power in strategic supply chains. Journal of Operations Management 25(2), 482–497 (2007); special Issue Evolution of the Field of Operations Management SI/ Special Issue Organisation Theory and Supply Chain ManagementCrossRefGoogle Scholar
  5. 5.
    Ismail, R., Josang, A.: The beta reputation system. In: Proceedings of the 15th Bled Conference on Electronic Commerce (2002); paper 41Google Scholar
  6. 6.
    North, M.J., Howe, T.R., Collie, N.T., Vos, J.R.: A declarative model assembly infrastructure for verification and validation. In: Takahashi, S., Sallach, D.L., Rouchier, J. (eds.) Advancing Social Simulation: The First World Congress, Springer, Heidelberg (2007)Google Scholar
  7. 7.
    Patel, J.: A Trust and Reputation Model for Agent-Based Virtual Organisations. Ph.D. thesis, University of Southampton (2006)Google Scholar
  8. 8.
    Rehák, M., Pěchouček, M.: Trust modeling with context representation and generalized identities. In: Klusch, M., Hindriks, K.V., Papazoglou, M.P., Sterling, L. (eds.) CIA 2007. LNCS (LNAI), vol. 4676, pp. 298–312. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  9. 9.
    Sabater, J., Sierra, C.: Regret: reputation in gregarious societies. In: Proceedings of the Fifth International Conference on Autonomous Agents, AGENTS 2001, pp. 194–195. ACM, New York (2001)CrossRefGoogle Scholar
  10. 10.
    Sako, M.: Does trust improve business performance? (2002), http://hdl.handle.net/1721.1/1462
  11. 11.
    Tokatli, N.: Global sourcing: insights from the global clothing industry - the case of zara, a fast fashion retailer. Journal of Economic Geography (2007)Google Scholar
  12. 12.
    Urbano, J., Rocha, A.P., Oliveira, E.: Computing confidence values: Does trust dynamics matter? In: Lopes, L.S., Lau, N., Mariano, P., Rocha, L.M. (eds.) EPIA 2009. LNCS, vol. 5816, pp. 520–531. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  13. 13.
    Urbano, J., Rocha, A.P., Oliveira, E.: Trustworthiness tendency incremental extraction using information gain. In: Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2010, vol. 02, pp. 411–414. IEEE Computer Society, Washington, DC (2010)CrossRefGoogle Scholar
  14. 14.
    Wathne, K.H., Heide, J.B.: Opportunism in interfirm relationships: Forms, outcomes, and solutions. The Journal of Marketing 64(4), 36–51 (2000)CrossRefGoogle Scholar
  15. 15.
    Williamson, O.E.: Transaction-cost economics: The governance of contractual relations. Journal of Law and Economics 22, 233–261 (1979)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Joana Urbano
    • 1
  • Ana Paula Rocha
    • 1
  • Eugénio Oliveira
    • 1
  1. 1.LIACC / Departamento de Engenharia Informática Faculdade de EngenhariaUniversidade do PortoPortoPortugal

Personalised recommendations