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Research PaperResearchia:202605.27054

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

Andrea Cuteri

Abstract

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 completene...

Submitted: May 27, 2026Subjects: AI; Artificial Intelligence

Description / Details

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.


Source: arXiv:2605.27338v1 - http://arxiv.org/abs/2605.27338v1 PDF: https://arxiv.org/pdf/2605.27338v1 Original Link: http://arxiv.org/abs/2605.27338v1

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Submission Info
Date:
May 27, 2026
Topic:
Artificial Intelligence
Area:
AI
Comments:
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