Computer Science – Artificial Intelligence
Scientific paper
2003-01-23
Computer Science
Artificial Intelligence
39 pages. To appear in Theory and Practice of Logic Programming
Scientific paper
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.
Schaub Torsten
Wang Kewen
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