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1 Laboratoire d-Informatique, Signaux, et Systèmes de Sophia-Antipolis I3S - Equipe KEIA SPARKS - Scalable and Pervasive softwARe and Knowledge Systems 2 WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics CRISAM - Inria Sophia Antipolis - Méditerranée , SPARKS - Scalable and Pervasive softwARe and Knowledge Systems

Abstract : We propose syntactic deliberation and goal election al-gorithms for possibilistic agents which are able to deal with incom-plete and imprecise information in a dynamic world. We show that the proposed algorithms are equivalent to their semantic counterparts already presented in the literature. We show that they lead to an ef-ficient implementation of a possibilistic BDI model of agency which integrates goal generation.

Keywords : goal generation BDI agent model possibility theory

Autor: Célia Da Costa Pereira - Andrea G. B. Tettamanzi -



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