Abstract
Because Virtual Organisations (VOs) essentially involve cooperating two or more organisations or agents to pursue a common objective, satisfactory cooperation is vital to their success. However, before an agent made the decision to go ahead with the VO, it needs to be confident that the rest of the potential partners will be act cooperatively. We show that reputation is a basic ingredient in the formation of VOs. Reputation is computed using an adaptive algorithm, so agents can learn and adapt their reputation models of their partners according to their recent behaviour. Our approach is especially powerful if the agent participates in a VO in which the members can change their behaviour to exploit their partners. The reputation model presented in this paper deals with the questions of deception and fraud that have been ignored in current models of VO formation.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
Keywords
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.
References
Braynov, S., Sandholm, T.: Trust revelation in multiagent interaction. In: Proceedings of CHI 2002 Workshop on Philosophy and design of Socially Adept Technologies, Minneapolis, USA, pp. 57–60 (2002)
Carbo, J., Molina, J., Davila, J.: Trust management through fuzzy reputation. International Journal of Cooperative Information Systems 12(1), 135–155 (2003)
Oliveira, E., Rocha, A.: Agents advanced features for negotiation in electronic commerce and virtual organisations formation processes. In: Sierra, C., Dignum, F.P.M. (eds.) AgentLink 2000. LNCS (LNAI), vol. 1991, pp. 77–96. Springer, Heidelberg (2001)
Sabater, J., Sierra, C.: Reputation and social network analysis in multi-agent systems. In: Proceedings of the First International Joint Conference on AAMAS, Bologna, Italy, pp. 475–482 (2002)
Shapiro, C.: Consumer information, product quality, and seller reputation. The Bell Journal of Economics 13, 20–35 (1982)
Zacharia, G., Maes, P.: Trust management through reputation mechanisms. Applied Artificial Intelligence 14(8), 881–907 (2000)
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
Avila-Rosas, A. (2005). An Adaptive Reputation Model for VOs. In: Eymann, T., Klügl, F., Lamersdorf, W., Klusch, M., Huhns, M.N. (eds) Multiagent System Technologies. MATES 2005. Lecture Notes in Computer Science(), vol 3550. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11550648_18
Download citation
DOI: https://doi.org/10.1007/11550648_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28740-7
Online ISBN: 978-3-540-28741-4
eBook Packages: Computer ScienceComputer Science (R0)