Recursive Aggregates as Intensional Functions in Answer Set Programming: Semantics and Strong Equivalence

This paper shows that the semantics of programs with aggregates implemented by the solvers clingo and dlv can be characterized as extended First-Order formulas with intensional functions in the logic of Here-and-There. Furthermore, this characterization can be used to study the strong equivalence of programs with aggregates under either semantics. We also present a transformation that reduces the task of checking strong equivalence to reasoning in classical First-Order logic, which serves as a foundation for automating this procedure.

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Publication Details

Journal
Proceedings of the AAAI Conference on Artificial Intelligence
Published
2025-04-11
DOI
https://doi.org/10.1609/aaai.v39i14.33633
Citations
1
Primary Topic
Logic, Reasoning, and Knowledge
Type
article
Field-Weighted Citation Impact
0.89

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article

Recursive Aggregates as Intensional Functions in Answer Set Programming: Semantics and Strong Equivalence

Zachary Hansen, Jorge Fandinno
1 citations
Proceedings of the AAAI Conference on Artificial Intelligence
Logic, Reasoning, and Knowledge
0.89
article

Recursive Aggregates as Intensional Functions in Answer Set Programming: Semantics and Strong Equivalence

Zachary Hansen, Jorge Fandinno
article en
1 citations

Abstract

This paper shows that the semantics of programs with aggregates implemented by the solvers clingo and dlv can be characterized as extended First-Order formulas with intensional functions in the logic of Here-and-There. Furthermore, this characterization can be used to study the strong equivalence of programs with aggregates under either semantics. We also present a transformation that reduces the task of checking strong equivalence to reasoning in classical First-Order logic, which serves as a foundation for automating this procedure.

Proceedings of the AAAI Conference on Artificial IntelligenceVol. 39(14)
University of Nebraska at Omaha (US)
National Science Foundation
Openalex Percentile: Top 28%
Logic, Reasoning, and Knowledge
0.89
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