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A Unifying Framework for Semiring-Based Constraint Logic Programming With Negation (full version)

arXiv 2507.16067 ↗First posted 21 Jul 2025cs.AI cs.LOcited by 0

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Abstract (arXiv)

Constraint Logic Programming (CLP) is a logic programming formalism used to solve problems requiring the consideration of constraints, like resource allocation and automated planning and scheduling. It has previously been extended in various directions, for example to support fuzzy constraint satisfaction, uncertainty, or negation, with different notions of semiring being used as a unifying abstraction for these generalizations. None of these extensions have studied clauses with negation allowed in the body. We investigate an extension of CLP which unifies many of these extensions and allows negation in the body. We provide semantics for such programs, using the framework of approximation fixpoint theory, and give a detailed overview of the impacts of properties of the semirings on the resulting semantics. As such, we provide a unifying framework that captures existing approaches and allows extending them with a more expressive language.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 7 of its 39 references that are in the map. First posted on arXiv 21 Jul 2025.

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References · 7

  1. 2020A Uniform Treatment of Aggregates and Constraints in Hybrid ASPcited by 8
  2. 2020An ASP semantics for Constraints involving Conditional Aggregatescited by 6
  3. 2024Semirings for Probabilistic and Neuro-Symbolic Logic Programmingcited by 6
  4. 2021Convergence of Datalog over (Pre-) Semiringscited by 5
  5. 2022Non-Deterministic Approximation Fixpoint Theory and Its Application in Disjunctive Logic Programmingcited by 5
  6. 2023Conditional independence on semiring relationscited by 1
  7. 2024An Algebraic Notion of Conditional Independence, and Its Application to Knowledge Representation (full version)cited by 1

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