Graphical Conditions for the Existence, Unicity and Number of Regular Models
Not on the map. Why?
Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). First posted on arXiv 13 Feb 2025.
Builds on
0 of 0 references.
No references here yet.
Built on by
Citing papers per year: 2025: 1.
1 paper.
- 2025On the Boolean Network Theory of Datalog^negcited by 1
- 2025On the Boolean Network Theory of Datalog^neg21 Apr 2025