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Conference Papers Year : 2014

Syntactic Possibilistic Goal Generation

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.
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hal-01078151 , version 1 (28-10-2014)

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Célia da Costa Pereira, Andrea G. B. Tettamanzi. Syntactic Possibilistic Goal Generation. ECAI 2014 - 21st European Conference on Artificial Intelligence, Aug 2014, Prague, Czech Republic. pp.711-716, ⟨10.3233/978-1-61499-419-0-711⟩. ⟨hal-01078151⟩
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