mlsanityData to 14 Oct 2026

SM-based Semantics for Answer Set Programs Containing Conditional Literals and Arithmetic

arXiv 2511.01753 ↗First posted 3 Nov 2025cs.LO cs.AI cs.PLcited by 1

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Abstract (arXiv)

Modern answer set programming solvers such as CLINGO support advanced language constructs that improve the expressivity and conciseness of logic programs. Conditional literals are one such construct. They form "subformulas" that behave as nested implications within the bodies of logic rules. Their inclusion brings the form of rules closer to the less restrictive syntax of first-order logic. These qualities make conditional literals useful tools for knowledge representation. In this paper, we propose a semantics for logic programs with conditional literals and arithmetic based on the SM operator. These semantics do not require grounding, unlike the established semantics for such programs that relies on a translation to infinitary propositional logic. The main result of this paper establishes the precise correspondence between the proposed and existing semantics.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 6 of its 35 references that are in the map. First posted on arXiv 3 Nov 2025.

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6 of 35 references.

References · 6

  1. 2020Verifying Tight Logic Programs with anthem and Vampirecited by 13
  2. 2018Experimenting with robotic intra-logistics domainscited by 12
  3. 2020Train Scheduling with Hybrid Answer Set Programmingcited by 7
  4. 2020Modular Answer Set Programming as a Formal Specification Languagecited by 7
  5. 2022Verification of Locally Tight Programscited by 3
  6. 2023External Behavior of a Logic Program and Verification of Refactoringcited by 3

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