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<XML><RECORDS>
<RECORD>
	<REFERENCE_TYPE>3</REFERENCE_TYPE>
	<AUTHORS>
		<AUTHOR>Ana Casali</AUTHOR>
		<AUTHOR>Lluís Godo</AUTHOR>
		<AUTHOR>Carles Sierra</AUTHOR>
	</AUTHORS>
	<YEAR>2009</YEAR>
	<TITLE>g-BDI: A Graded Intensional Agent Model for Practical Reasoning</TITLE>
	<SECONDARY_TITLE>Modeling Decisions for Artificial Intelligence, 6th International Conference, MDAI 2009</SECONDARY_TITLE>
	<PLACE_PUBLISHED>Awaji Island, Japan</PLACE_PUBLISHED>
	<PUBLISHER>Springer</PUBLISHER>
	<VOLUME>5861</VOLUME>
	<PAGES>5-20</PAGES>
	<TERTIARY_TITLE>Lecture Notes in Artificial Intelligence</TERTIARY_TITLE>
	<EDITION>Vicenç Torra, Yasuo Narukawa, Masahiro Inuiguchi</EDITION>
	<DATE>30/11/2009</DATE>
	<ISBN>978-3-642-04819-7</ISBN>
	<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.</ABSTRACT>
</RECORD>
</RECORDS></XML>