%0 Journal Article
%T Possibilistic Answer Set Programming Revisited
%A Kim Bauters
%A Steven Schockaert
%A Martine De Cock
%A Dirk Vermeir
%J Computer Science
%D 2012
%I arXiv
%X Possibilistic answer set programming (PASP) extends answer set programming (ASP) by attaching to each rule a degree of certainty. While such an extension is important from an application point of view, existing semantics are not well-motivated, and do not always yield intuitive results. To develop a more suitable semantics, we first introduce a characterization of answer sets of classical ASP programs in terms of possibilistic logic where an ASP program specifies a set of constraints on possibility distributions. This characterization is then naturally generalized to define answer sets of PASP programs. We furthermore provide a syntactic counterpart, leading to a possibilistic generalization of the well-known Gelfond-Lifschitz reduct, and we show how our framework can readily be implemented using standard ASP solvers.
%U http://arxiv.org/abs/1203.3466v1