Abstract
Experience-based service selection refers to selection of service providers using others’ experiences. An agent can represent its experience (its demand and received service) rigorously using an ontology. When agents report their experiences truthfully, experience-based service selection outperforms classical rating-based service selection, in which agents only report ratings for service providers. However, in many setting agents may prefer to lie about their experiences. This paper tackles the problem of handling deceptive information in the context of experience-based service selection. We apply three current approaches for filtering unfair ratings to filtering deceptive experience. We analyze these approaches when multiagent systems have different types of liars and report their performance in filtering deceptive experiences.
This research has been partially supported by Boğaziçi University Research Fund under grant BAP07A102 and The Scientific and Technological Research Council of Turkey by a CAREER Award under grant 105E073.
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Şensoy, M., Yolum, P. (2008). Experimental Evaluation of Deceptive Information Filtering in Context-Aware Service Selection. In: Falcone, R., Barber, S.K., Sabater-Mir, J., Singh, M.P. (eds) Trust in Agent Societies. TRUST 2008. Lecture Notes in Computer Science(), vol 5396. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92803-4_17
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DOI: https://doi.org/10.1007/978-3-540-92803-4_17
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