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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Bachmann, R.: Trust, power and control in trans-organizational relations. Organization Studies 22(2), 337–365 (2001)
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)
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)
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 Management
Ismail, R., Josang, A.: The beta reputation system. In: Proceedings of the 15th Bled Conference on Electronic Commerce (2002); paper 41
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)
Patel, J.: A Trust and Reputation Model for Agent-Based Virtual Organisations. Ph.D. thesis, University of Southampton (2006)
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)
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)
Sako, M.: Does trust improve business performance? (2002), http://hdl.handle.net/1721.1/1462
Tokatli, N.: Global sourcing: insights from the global clothing industry - the case of zara, a fast fashion retailer. Journal of Economic Geography (2007)
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)
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)
Wathne, K.H., Heide, J.B.: Opportunism in interfirm relationships: Forms, outcomes, and solutions. The Journal of Marketing 64(4), 36–51 (2000)
Williamson, O.E.: Transaction-cost economics: The governance of contractual relations. Journal of Law and Economics 22, 233–261 (1979)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Urbano, J., Rocha, A.P., Oliveira, E. (2011). A Dynamic Agents’ Behavior Model for Computational Trust. In: Antunes, L., Pinto, H.S. (eds) Progress in Artificial Intelligence. EPIA 2011. Lecture Notes in Computer Science(), vol 7026. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24769-9_39
Download citation
DOI: https://doi.org/10.1007/978-3-642-24769-9_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24768-2
Online ISBN: 978-3-642-24769-9
eBook Packages: Computer ScienceComputer Science (R0)