Abstract
In this paper we present an agent-based application of a wireless tourist guide that combines the Beliefs-Desires-Intentions approach with learning capabilities of Case Base Reasoning techniques. This application shows how to develop adaptive agents with a goal driven design and a decision process built on a CBR architecture. The resulting agent architecture has been validated by real users who have used the tourist guide application, on a mobile device, and can be generalized for the development of other personalized services.
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Corchado, J.M., Pavón, J., Corchado, E.S., Castillo, L.F. (2004). Development of CBR-BDI Agents: A Tourist Guide Application. In: Funk, P., González Calero, P.A. (eds) Advances in Case-Based Reasoning. ECCBR 2004. Lecture Notes in Computer Science(), vol 3155. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28631-8_40
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DOI: https://doi.org/10.1007/978-3-540-28631-8_40
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