Abstract
This research aims to develop a model of trust and reputation that will ensure good interactions amongst software agents in large scale open systems in particular. The following are key drivers for our model: (1) agents may be self-interested and may provide false accounts of experiences with other agents if it is beneficial for them to do so; (2) agents will need to interact with other agents with which they have no past experience. Against this background, we have developed TRAVOS (Trust and Reputation model for Agent-based Virtual OrganisationS) which models an agent’s trust in an interaction partner. Specifically, trust is calculated using probability theory taking account of past interactions between agents. When there is a lack of personal experience between agents, the model draws upon reputation information gathered from third parties. In this latter case, we pay particular attention to handling the possibility that reputation information may be inaccurate.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Buchegger, S., Boudec, J.Y.L.: A robust reputation system for mobile ad-hoc networks ic/2003/50. Technical report, EPFL-IC-LCA (2003)
DeGroot, M., Schervish, M.: Probability & Statistics. Addison-Wesley, Reading (2002)
Dellarocas, C.: Mechanisms for coping with unfair ratings and discriminatory behavior in online reputation reporting systems. In: ICIS, pp. 520–525 (2000)
Foster, I., Jennings, N.R., Kesselman, C.: Brain meets brawn: Why grid and agents need each other. In: Proceedings of the 3rd Int. Conf. on Autonomous Agents and Multi-Agent Systems, pp. 8–15 (2004)
Gambetta, D.: Can we trust trust? In: Gambetta, D. (ed.) Trust: Making and Breaking Cooperative Relations, ch. 13, pp. 213–237. Basil Blackwell, Malden (1988)
Huynh, T.D., Jennings, N.R., Shadbolt, N.: Developing an integrated trust and reputation model for open multi-agent systems. In: Proceedings of the 7th Int. Workshop on Trust in Agent Societies, pp. 62–77 (2004)
Ismail, R., Jøsang, A.: The beta reputation system. In: Proceedings of the 15th Bled Conference on Electronic Commerce, Bled, Slovenia (2002)
Moukas, A., Zacharia, G., Maes, P.: Amalthaea and histos: Multi-agent systems for www sites and reputation recommendations. In: Klusch, M. (ed.) Intelligent Information Agents, ch. 13. Springer, Heidelberg (1999)
Norman, T.J., Preece, A., Chalmers, S., Jennings, N.R., Luck, M., Dang, V., Nguyen, T.D., Deora, V., Shao, J., Gray, A., Fiddian, N.J.: Agent-based formation of virtual organisations. Knowledge-Based Systems 17(2–4), 103–111 (2004)
Ramchurn, S.D., Hunyh, D., Jennings, N.R.: Trust in multi-agent systems. Knowledge Engineering Review 19(1) (2004)
Sabater, J., Sierra, C.: Regret: A reputation model for gregarious societies. In: 4th Workshop on Deception Fraud & Trust in Agent Societies, pp. 61–70 (2001)
Whitby, A., Jøsang, A., Indulska, J.: Filtering out unfair ratings in bayesian reputation systems. In: Proceedings of the Workshop on Trust in Agent Societies, at the 3rd Int. Conf. on Autonomous Agents & Multi Agent Systems (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Patel, J., Teacy, W.T.L., Jennings, N.R., Luck, M. (2005). A Probabilistic Trust Model for Handling Inaccurate Reputation Sources. In: Herrmann, P., Issarny, V., Shiu, S. (eds) Trust Management. iTrust 2005. Lecture Notes in Computer Science, vol 3477. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11429760_14
Download citation
DOI: https://doi.org/10.1007/11429760_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26042-4
Online ISBN: 978-3-540-32040-1
eBook Packages: Computer ScienceComputer Science (R0)