Graphical Conditions for the Existence, Unicity and Number of Regular Models

Van Giang Trinh, Belaid Benhamou, Sylvain Soliman, François Fages

Research output: Contribution to journalConference articlepeer-review

Abstract

The regular models of a normal logic program are a particular type of partial (i.e. 3-valued) models which correspond to stable partial models with minimal undefinedness. In this paper, we explore graphical conditions on the dependency graph of a finite ground normal logic program to analyze the existence, unicity and number of regular models for the program. We show three main results: 1) a necessary condition for the existence of non-trivial (i.e. non-2-valued) regular models, 2) a sufficient condition for the unicity of regular models, and 3) two upper bounds for the number of regular models based on positive feedback vertex sets. The first two conditions generalize the finite cases of the two existing results obtained by You and Yuan (1994) for normal logic programs with well-founded stratification. The third result is also new to the best of our knowledge. Key to our proofs is a connection that we establish between finite ground normal logic programs and Boolean network theory.

Original languageEnglish
Pages (from-to)175-187
Number of pages13
JournalElectronic Proceedings in Theoretical Computer Science, EPTCS
Volume416
DOIs
Publication statusPublished - 13 Feb 2025
Externally publishedYes
Event40th International Conference on Logic Programming, ICLP 2024 - Dallas, United States
Duration: 14 Oct 202417 Oct 2024

Keywords

  • Boolean network
  • Datalog
  • abstract argumentation
  • canonical model
  • feedback vertex set
  • logic programming
  • model counting
  • semantics of negation
  • three-valued model

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