Reputation as Aggregated Opinions
A model of reputation is presented in which agents share and aggregate their opinions, and observe the way in which their opinions effect the opinions of others. A method is proposed that supports the deliberative process of combining opinions into a group’s reputation. The reliability of agents as opinion givers are measured in terms of the extent to which their opinions differ from that of the group reputation. These reliability measures are used to form an a priori reputation estimate given the individual opinions of a set of independent agents.
KeywordsMaximum Entropy Multiagent System Social Evaluation Semantic Distance Epistemic Belief
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- 1.Sierra, C., Debenham, J.: Information-based agency. In: Proceedings of Twentieth International Joint Conference on Artificial Intelligence IJCAI-07, Hyderabad, India, January 2007, pp. 1513–1518 (2007)Google Scholar
- 2.Friedkin, N., Johnsen, E.: Social influence networks and opinion change. Advances in Group Processes 16, 1–29 (1999)Google Scholar
- 3.Surowiecki, J.: The Wisdom of Crowds: Why the Many Are Smarter Than the Few and How Collective Wisdom Shapes Business, Economies, Societies and Nations. Random House, New York (2004)Google Scholar
- 5.Viljanen, L.: Towards an ontology of trust. In: Katsikas, S., Løpez, J., Pernum, G. (eds.) TrustBus 2005. LNCS, vol. 3592, pp. 175–184. Springer, Heidelberg (2005)Google Scholar
- 7.Arcos, J.L., Esteva, M., Noriega, P., Rodríguez, J.A., Sierra, C.: Environment engineering for multiagent systems. Journal on Engineering Applications of Artificial Intelligence 18 (2005)Google Scholar
- 8.Sierra, C., Debenham, J.: Information-based agency. In: Veloso, M. (ed.) Twentieth International Joint Conference on AI (January 2007) (in press)Google Scholar
- 9.Sierra, C., Debenham, J.: The LOGIC Negotiation Model. In: Proceedings Sixth International Conference on Autonomous Agents and Multi Agent Systems AAMAS-2007, Honolulu, Hawai’i, May 2007, pp. 1026–1033 (2007)Google Scholar
- 10.Klimek, P., Lambiotte, R., Thurner, S.: Opinion formation in laggard societies. EPL (Europhysics Letters) 82(2) (2008)Google Scholar
- 11.Cheeseman, P., Stutz, J.: On The Relationship between Bayesian and Maximum Entropy Inference. In: Bayesian Inference and Maximum Entropy Methods in Science and Engineering. American Institute of Physics, Melville, NY, USA, pp. 445–461 (2004)Google Scholar
- 13.Kuter, U., Golbeck, J.: Sunny: A new algorithm for trust inference in social networks using probabilistic confidence models. In: Proceedings of the 22nd national conference on Artificial intelligence (AAAI’07), pp. 1377–1382. AAAI Press, Menlo Park (2007)Google Scholar
- 16.Pinyol, I., Sabater-Mir, J., Cuní, G.: How to talk about reputation using a common ontology: From definition to implementation, pp. 90–101 (2007)Google Scholar