On the Foundations of Grounding in Answer Set Programming
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Abstract (arXiv)
We provide a comprehensive elaboration of the theoretical foundations of variable instantiation, or grounding, in Answer Set Programming (ASP). Building on the semantics of ASP's modeling language, we introduce a formal characterization of grounding algorithms in terms of (fixed point) operators. A major role is played by dedicated well-founded operators whose associated models provide semantic guidance for delineating the result of grounding along with on-the-fly simplifications. We address an expressive class of logic programs that incorporates recursive aggregates and thus amounts to the scope of existing ASP modeling languages. This is accompanied with a plain algorithmic framework detailing the grounding of recursive aggregates. The given algorithms correspond essentially to the ones used in the ASP grounder gringo.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 6 of its 69 references that are in the map. First posted on arXiv 10 Aug 2021.
Builds on
6 of 69 references.
References · 6
- 2020Advancing Lazy-Grounding ASP Solving Techniques -- Restarts, Phase Saving, Heuristics, and Morecited by 10
- 2014Modularity Aspects of Disjunctive Stable Modelscited by 8
- 2014Predicate Logic as a Modelling Language: The IDP Systemcited by 8
- 2021Analyzing Semantics of Aggregate Answer Set Programming Using Approximation Fixpoint Theorycited by 6
- 2016Grounding Recursive Aggregates: Preliminary Reportcited by 4
- 2014Grounding FO and FO(ID) with Boundscited by 3
Built on by
Citing papers per year: 2022: 1; 2023: 2; 2024: 2; 2025: 1.
6 papers.
- 2022Decomposition Strategies and Multi-shot ASP Solving for Job-shop Schedulingcited by 3
- 2023Current and Future Challenges in Knowledge Representation and Reasoningcited by 1
- 2023System Predictor: Grounding Size Estimator for Logic Programs under Answer Set Semanticscited by 0
- 2024Finite Groundings for ASP with Functions: A Journey through Consistencycited by 0
- 2024Operator-based semantics for choice programs: is choosing losing? (full version)cited by 0
- 2025Intermediate Languages Matter: Formal Languages and LLMs affect Neurosymbolic Reasoningcited by 0
- 2025Intermediate Languages Matter: Formal Languages and LLMs affect Neurosymbolic Reasoning4 Sep 2025
- 2024Operator-based semantics for choice programs: is choosing losing? (full version)31 Jul 2024
- 2024Finite Groundings for ASP with Functions: A Journey through Consistency8 May 2024
- 2023Current and Future Challenges in Knowledge Representation and Reasoning8 Aug 2023
- 2023System Predictor: Grounding Size Estimator for Logic Programs under Answer Set Semantics29 Mar 2023
- 2022Decomposition Strategies and Multi-shot ASP Solving for Job-shop Scheduling16 May 2022