2-ASP(Q) programs with weak constraints: Complexity and efficient implementation

Fuente: arXiv
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Autores principales: Cuteri, Andrea, Mazzotta, Giuseppe, Ricca, Francesco
Formato: Preprint
Publicado: 2026
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author Cuteri, Andrea
Mazzotta, Giuseppe
Ricca, Francesco
author_facet Cuteri, Andrea
Mazzotta, Giuseppe
Ricca, Francesco
contents ASP(Q) extends Answer Set Programming (ASP) with Quantifiers over answer sets. In this paper we focus on the class of ASP(Q) programs with two quantifiers and weak constraints, denoted as 2-ASP(Q)^w. 2-ASP(Q)^w is a practically relevant fragment of ASP(Q) that is expressive enough to capture optimization problems up to the class Delta_3^P. On the theoretical side, we provide a complete complexity characterization of the main computational tasks for 2-ASP(Q)^w programs, including tight completeness results and the analysis of nontrivial cases that have not been addressed in previous works. On the practical side, we introduce novel strategies for computing (optimal) quantified answer sets in the Casper system, that rely on a Counterexample-Guided Abstraction Refinement (CEGAR) technique tailored to ASP(Q). An experimental evaluation on hard benchmarks from different application domains shows that the proposed techniques are effective in practice.
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publishDate 2026
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spellingShingle 2-ASP(Q) programs with weak constraints: Complexity and efficient implementation
Cuteri, Andrea
Mazzotta, Giuseppe
Ricca, Francesco
Artificial Intelligence
Computational Complexity
Computation and Language
Logic in Computer Science
ASP(Q) extends Answer Set Programming (ASP) with Quantifiers over answer sets. In this paper we focus on the class of ASP(Q) programs with two quantifiers and weak constraints, denoted as 2-ASP(Q)^w. 2-ASP(Q)^w is a practically relevant fragment of ASP(Q) that is expressive enough to capture optimization problems up to the class Delta_3^P. On the theoretical side, we provide a complete complexity characterization of the main computational tasks for 2-ASP(Q)^w programs, including tight completeness results and the analysis of nontrivial cases that have not been addressed in previous works. On the practical side, we introduce novel strategies for computing (optimal) quantified answer sets in the Casper system, that rely on a Counterexample-Guided Abstraction Refinement (CEGAR) technique tailored to ASP(Q). An experimental evaluation on hard benchmarks from different application domains shows that the proposed techniques are effective in practice.
title 2-ASP(Q) programs with weak constraints: Complexity and efficient implementation
topic Artificial Intelligence
Computational Complexity
Computation and Language
Logic in Computer Science
url https://arxiv.org/abs/2605.27338