[hal-01078151] Syntactic Possibilistic Goal Generation

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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