
We provide a semantic framework for preference handling in answer set programming. To this end, we introduce preference preserving consequence operators. The resulting fixpoint characterizations provide us with a uniform semantic framework for characterizing preference handling in existing approaches. Although our approach is extensible to other semantics by means of an alternating fixpoint theory, we focus here on the elaboration of preferences under answer set semantics. Alternatively, we show how these approaches can be characterized by the concept of order preservation. These uniform semantic characterizations provide us with new insights about interrelationships and moreover about ways of implementation.
39 pages. To appear in Theory and Practice of Logic Programming
FOS: Computer and information sciences, Logic in artificial intelligence, I.2.3, Computer Science - Artificial Intelligence, D.1.6, Institut für Informatik und Computational Science, Semantics in the theory of computing, Symbolic computation and algebraic computation, Logic programming, priorities., I.2.3; D.1.6, Mechanization of proofs and logical operations, Artificial Intelligence (cs.AI), answer set programming, preferences, Theory of computation, Theorem proving (deduction, resolution, etc.)
FOS: Computer and information sciences, Logic in artificial intelligence, I.2.3, Computer Science - Artificial Intelligence, D.1.6, Institut für Informatik und Computational Science, Semantics in the theory of computing, Symbolic computation and algebraic computation, Logic programming, priorities., I.2.3; D.1.6, Mechanization of proofs and logical operations, Artificial Intelligence (cs.AI), answer set programming, preferences, Theory of computation, Theorem proving (deduction, resolution, etc.)
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