Amendola, Giovanni, Dodaro, Carmine, Faber, Wolfgang, Leone, Nicola and Francesco, Ricca (2017) On the Computation of Paracoherent Answer Sets. In: Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence. AAAI Press, pp. 1034-1040.

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Answer Set Programming (ASP) is a well-established formalism for nonmonotonic reasoning. An ASP program can have no answer set due to cyclic default negation. In this case, it is not possible to draw any conclusion, even if this is not intended.
Recently, several paracoherent semantics have been
proposed that address this issue, and several potential applications for these semantics have been identified. However, paracoherent semantics have essentially been inapplicable in practice, due to the lack of efficient algorithms and implementations. In this paper, this lack is addressed, and several different algorithms to compute semi-stable and semi-equilibrium
models are proposed and implemented into an answer set solving framework. An empirical performance comparison among the new algorithms on benchmarks from ASP competitions is given as well.

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