Syntactic Possibilistic Goal Generation
Célia da Costa Pereira, Andrea G. B. Tettamanzi · Frontiers in artificial intelligence and applications · 2014
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.