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Syntactic Possibilistic Goal Generation
Célia da Costa Pereira, Andrea G.B. Tettamanzi
711 - 716
10.3233/978-1-61499-419-0-711
Frontiers in Artificial Intelligence and Applications
Volume 263: ECAI 2014
Abstract

We propose syntactic deliberation and goal election algorithms for possibilistic agents which are able to deal with incomplete 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 efficient implementation of a possibilistic BDI model of agency which integrates goal generation.

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