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Generality Relations in Answer Set Programming

  • Katsumi Inoue
  • Chiaki Sakama
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4079)

Abstract

This paper studies generality relations on logic programs. Intuitively, a program P 1 is more general than another program P 2 if P 1 gives us more information than P 2. In this paper, we define various kinds of generality relations over nonmonotonic programs in the context of answer set programming. The semantic properties of generality relations are investigated based on domain theory, and both a minimal upper bound and a maximal lower bound are constructed for any pair of logic programs. We also introduce the concept of strong generality between logic programs and investigate its relationships to strong equivalence. These results provide a basic theory to compare the degree of incompleteness between nonmonotonic logic programs, and also have important applications to inductive logic programming and multi-agent systems.

Keywords

Logic Program Conjunctive Normal Form Inductive Logic Programming Domain Theory Disjunctive Normal Form 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Katsumi Inoue
    • 1
  • Chiaki Sakama
    • 2
  1. 1.National Institute of InformaticsTokyoJapan
  2. 2.Department of Computer and Communication SciencesWakayama UniversitySakaedani, WakayamaJapan

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