Research in Multi-Agent Systems has revealed that Agents must enter into a relationship voluntarily in order to collaborate, otherwise that collaborative efforts may fail [1,2]. When examining this problem, trust becomes the focus in promoting the ability to collaborate, however trust itself is defined from several perspectives. Trust between agents within Multi-Agent System may be analogous to the trust that is required between humans. A Trust, Negotiation, Communication model currently being developed, is based around trust and may be used as a basis for future research and the ongoing development of Multi-Agent System (MAS).

This paper is focused on discussing how the architecture of an agent could be designed to provide it the ability to foster trust between agents and therefore to dynamically organise within a team environment or across distributed systems to enhance individual abilities. The Trust, Negotiation, Communication (TNC) model is a proposed building block that provides an agent with the mechanisms to develop a formal trust network both through cooperation or confederated or collaborative associations. The model is conceptual, therefore discussion is limited to the basic framework.


Multiagent System Communication Layer Agent Architecture Team Formation Controller Agent 
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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  1. 1.
    d’Inverno, M., Luck, M.: Understanding agent systems. Springer, Heidelberg (2001)MATHGoogle Scholar
  2. 2.
    Wooldridge, M., Jennings, N.R.: The cooperative problem-solving process. Journal of Logic and Computation 9, 563–592 (1999)CrossRefMathSciNetGoogle Scholar
  3. 3.
    Urlings, P.: Teaming Human and Machine. PhD thesis, School of Electrical and Information Engineering, University of South Australia (2003)Google Scholar
  4. 4.
    Mann, R.: Interpersonal styles and group development. American Journal of Psychology 81, 137–140 (1970)Google Scholar
  5. 5.
    Corritore, C.L., Wiedenbeck, S., Kracher, B.: The elements of online trust. In: Extended Abstracts on Human Factors in Computing Systems (CHI 2001), pp. 504–505. ACM Press, New York (2001)CrossRefGoogle Scholar
  6. 6.
    Prinzel, L.J.: The relationship of self-efficacy and complancency in pilot-automation interaction. Technical Report TM-2002-211925, NASA, Langley Research Center, Hampton, Virginia (2002)Google Scholar
  7. 7.
    Gefen, D.: Reflections on the dimensions of trust and trustworthiness among online consumers. SIGMIS Database 33, 38–53 (2002)CrossRefGoogle Scholar
  8. 8.
    Frankel, C.B., Bedworth, M.D.: Control, estimation and abstraction in fusion architectures: Lessons from human information processing. In: Proceedings of the Third International Conference on Information Fusion (FUSION 2000), vol. 1, pp. MOC5–3 – MOC5–10 (2000)Google Scholar
  9. 9.
    Kelly, C., Boardman, M., Goillau, P., Jeannot, E.: Guidelines for trust in future ATM systems: A literature review. Technical Report 030317-01, European Organisation for the Safety of Air Navigation (May 2003)Google Scholar
  10. 10.
    Hoffman, R.R.: Whom (or what) do you (mis)trust?: Historical reflections on the psychology and sociology of information technology. In: Proceedings of the Fourth Annual Symposium on Human Interaction with Complex Systems, pp. 28–36 (1998)Google Scholar
  11. 11.
    Cahill, V., Gray, E., Seigneur, J.M., Jensen, C.D., Chen, Y., Shand, B., Dimmock, N., Twigg, A., Bacon, J., English, C., Wagealla, W., Terzis, S., Nixon, P., Serugendo, G.D.M., Bryce, C., Carbone, M., Krukow, K., Nielson, M.: Using trust for secure collaboration in uncertain environments. Pervasive Computing, IEEE 2, 52–61 (2003)CrossRefGoogle Scholar
  12. 12.
    Castelfranchi, C., Falcone, R., Pezzulo, G.: Trust in information sources as a source for trust: A fuzzy approach. In: Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 89–96. ACM Press, New York (2003)CrossRefGoogle Scholar
  13. 13.
    Nwana, H.S.: Software agents: An overview. Knowledge Engineering Review 11, 1–40 (1996)CrossRefGoogle Scholar
  14. 14.
    Wooldridge, M., Jennings, N.: Agent theories, architectures, and languages: A survey. In: Wooldridge, M.J., Jennings, N.R. (eds.) ECAI 1994 and ATAL 1994. LNCS, vol. 890, p. 403. Springer, Heidelberg (1995)Google Scholar
  15. 15.
    Consoli, A., Tweedale, J.W., Jain, L.: The link between agent coordination and cooperation. In: 10th International Conference on Kowledge Based Intelligent Information and Engineering Systems, Bournemouth, England. LNCS, Springer, Heidelberg (2006)Google Scholar
  16. 16.
    Cohen, M.S.: A situation specific model of trust to decision aids. Cognitive Technologies (2000)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jeffrey Tweedale
    • 1
  • Philip Cutler
    • 1
  1. 1.Air Operations Division, Defence Science and Technology OrganisationEdinburghAustralia

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