Sequential composition of propositional logic programs
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Abstract (arXiv)
This paper introduces and studies the sequential composition and decomposition of propositional logic programs. We show that acyclic programs can be decomposed into single-rule programs and provide a general decomposition result for arbitrary programs. We show that the immediate consequence operator of a program can be represented via composition which allows us to compute its least model without any explicit reference to operators. This bridges the conceptual gap between the syntax and semantics of a propositional logic program in a mathematically satisfactory way.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 Sep 2020.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 2; 2024: 1; 2025: 0; 2026: 1.
5 papers.
- 2021Sequential composition of answer set programscited by 5
- 2023Generalization-baed similaritycited by 2
- 2023Sequential decomposition of propositional logic programscited by 0
- 2024Neural logic programs and neural netscited by 0
- 2026The algebra of Krom logic programscited by 0
- 2026The algebra of Krom logic programs14 Jun 2026
- 2024Neural logic programs and neural nets13 Jun 2024
- 2023Sequential decomposition of propositional logic programs21 Feb 2023
- 2023Generalization-baed similarity13 Feb 2023
- 2021Sequential composition of answer set programs25 Apr 2021