Development of CBR-BDI Agents: A Tourist Guide Application
Fecha de publicación
Springer Science + Business Media
Advances in Case-Based Reasoning Lecture Notes in Computer Science. Lecture Notes in Computer Science. Volumen 3155, pp. 547-559.
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.
978-3-540-22882-0 (Print) / 978-3-540-28631-8 (Online)
0302-9743 (Print) / 1611-3349 (Online)
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