The answer set semantics may assign a logic program no model due to classic contradiction or cyclic negation. The latter can be remedied by a paraco-herent semantics given by semi-equilibrium (SEQ) models, which are 3-valued interpretations that generalize the logical reconstruction of answer sets given by equilibrium models. However SEQ-models miss modularity in the rules, such that a natural modular (bottom up) evaluation of programs is hindered. We thus refine SEQ-models using splitting sets, the major tool for modularity in answer set programs. We consider canonical models that are independent of any particular splitting sequence from a class of splitting sequences, and present two such classes whose members are efficiently recognizable. Split SEQ-models does not make reasoning harder, except for deciding model existence in presence of constraints.

Dealing with incoherence in ASP: Split semi-equilibrium semantics

Amendola, Giovanni
2014-01-01

Abstract

The answer set semantics may assign a logic program no model due to classic contradiction or cyclic negation. The latter can be remedied by a paraco-herent semantics given by semi-equilibrium (SEQ) models, which are 3-valued interpretations that generalize the logical reconstruction of answer sets given by equilibrium models. However SEQ-models miss modularity in the rules, such that a natural modular (bottom up) evaluation of programs is hindered. We thus refine SEQ-models using splitting sets, the major tool for modularity in answer set programs. We consider canonical models that are independent of any particular splitting sequence from a class of splitting sequences, and present two such classes whose members are efficiently recognizable. Split SEQ-models does not make reasoning harder, except for deciding model existence in presence of constraints.
2014
Computer Science (all)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/275469
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