A Unifying Framework for Semiring-Based Constraint Logic Programming With Negation

A Unifying Framework for Semiring-Based Constraint Logic Programming With Negation

Jeroen Spaans, Jesse Heyninck

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence
Main Track. Pages 2684-2692. https://doi.org/10.24963/ijcai.2025/299

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 generalisations. 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 to extend them with a more expressive language.
Keywords:
Constraint Satisfaction and Optimization: CSO: Other
Constraint Satisfaction and Optimization: CSO: Constraint programming
Constraint Satisfaction and Optimization: CSO: Mixed discrete and continuous optimization
Knowledge Representation and Reasoning: KRR: Logic programming