Abstract
Reputation has been presented as a cornerstone in recent years to foster trust relationships among individuals in multiagent systems. Moreover reputation, as an aggregation of opinions, has become a major topic in research. We are particularly interested in e-commerce scenarios, where capital drives decision-making processes of the agents. More concretely, our work focuses on how to facilitate the search of good reputation sources. In this paper we put forward a theoretical framework to manage reputation of a company by using a dynamic reputation market mechanism based on econometric stock markets analogy.
The present work has been partially funded by the Spanish Ministry of Education and Science under project OVAMAH-TIN2009-13839-C03-02 (co-funded by Plan E) and Agreement Technologies (CONSOLIDER CSD2007-0022, INGENIO 2010).
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Hermoso, R. (2012). A Reputation Framework Based on Stock Markets for Selecting Accurate Information Sources. In: Pérez, J., et al. Highlights on Practical Applications of Agents and Multi-Agent Systems. Advances in Intelligent and Soft Computing, vol 156. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28762-6_23
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DOI: https://doi.org/10.1007/978-3-642-28762-6_23
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