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Abstract:

In intentional agents, actions are derived from the mental attitudes and their relationships. In particular, preferences (positive de- sires) and restrictions (negative desires) are important proactive atti- tudes which guide agents to intentions and eventually to actions. In this paper we overview recent developments about a multi-context based agent architecture g-BDI to represent and reasoning about gradual no- tions of desires and intentions, including sound and complete logical for- malizations. We also show that the framework is expressive enough to describe how desires, together with other information, can lead agents to intentions and finally to actions. As a case-study, we will also describe the design and implementation of recommender system on tourism as well as the results of some experiments concerning the flexibility and performance of the g-BDI model.

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