Computing Preferred Answer Sets in Answer Set Programming
Toshiko Wakaki, Katsumi Inoue, Chiaki Sakama and Katsumi Nitta
Proceedings of the 10th International Conference on Logic for Programming, Artificial Intelligence,
and Reasoning (LPAR'03), Lecture Notes in Artificial Intelligence 2850, pages 259-273,
Prioritized logic programs (PLPs) have a mechanism of representing
priority knowledge in logic programs. The declarative semantics
of a PLP is given as preferred answer sets which are used for
representing nonmonotonic reasoning as well as preference abduction.
From the computational viewpoint, however,
its implementation issues have little been studied and
no sound procedure is known for computing preferred answer sets of PLPs.
In this paper, we present a sound and complete
procedure to compute all preferred answer sets of a PLP
in answer set programming. The procedure is based
on a program transformation from a PLP to a logic program
and is realized on top of any procedure for answer set programming.
The proposed technique also extends PLPs to handle dynamic preference
and we address its application to legal reasoning.
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