Abstract
The approaches to the trust study are various and very different each of other. In our view, just a socio-cognitive approach to trust would be able to analyze the sub-components (the basic beliefs) on which the final decision to trust or not is taken. In this paper we show a first implementation and advance of the socio-cognitive model of trust developed in [1],[ 2] using the so-called Fuzzy Cognitive Maps. With this implementation we show how the different components may change and how their impact can change depending from the specific situation and from the agent personality.
This paper has been partially founded by the European Project ALFEBIITE (A Logical Framework for Ethical Behaviour between Infohabitants in the Information Trading Economy of the Universal Information Ecosystem): IST-1999-10298; by the Progetto MIUR 40% “Agenti software e commercio elettronico” and by the PAR project of the University of Siena.
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© 2003 Springer-Verlag Berlin Heidelberg
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Falcone, R., Pezzulo, G., Castelfranchi, C. (2003). A Fuzzy Approach to a Belief-Based Trust Computation. In: Falcone, R., Barber, S., Korba, L., Singh, M. (eds) Trust, Reputation, and Security: Theories and Practice. TRUST 2002. Lecture Notes in Computer Science, vol 2631. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36609-1_7
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DOI: https://doi.org/10.1007/3-540-36609-1_7
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