g-BDI: A Graded Intentional Agent Model for Practical Reasoning

ANA CASALI; LLUÍS GODO; CARLES SIERRA

Modeling Decisions for Artificial Intelligence LNAI 5861

Springer

Lugar: Berlin; Año: 2009; p. 5 - 20

In intentional agents, actions are derived from the mentalattitudes 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 notions of desires and intentions, including sound and complete logical formalizations. We also show that the framework is expressive enough to describe how desires, together with other information, can lead agents to intentions and nally 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 exibility and performance of the g-BDI model.