Extracting Policies from Quantified Answer Set Programs

Quantified Answer Set Programming (QASP) extends Answer Set Programming (ASP) by allowing quantification over propositional variables, similar to Quantified Boolean Formulas (QBF). In this paper, we interpret models of QASP formulas in terms of policies, which represent decision-making strategies that determine how existentially quantified variables should be assigned, given the conditions set by universally quantified variables. As a main contribution, we present an algorithm for policy extraction under QASP semantics, inspired by the Equilibrium Logic semantics for general ASP theories.

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Publication Details

Journal
Electronic Proceedings in Theoretical Computer Science
Published
2026-01-08
DOI
https://doi.org/10.4204/eptcs.439.16
Primary Topic
Logic, Reasoning, and Knowledge
Type
article
Field-Weighted Citation Impact
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article

Extracting Policies from Quantified Answer Set Programs

Igor Stéphan, Martín Diéguez
Electronic Proceedings in Theoretical Computer Science
Logic, Reasoning, and Knowledge
article

Extracting Policies from Quantified Answer Set Programs

Igor Stéphan, Martín Diéguez
article en

Abstract

Quantified Answer Set Programming (QASP) extends Answer Set Programming (ASP) by allowing quantification over propositional variables, similar to Quantified Boolean Formulas (QBF). In this paper, we interpret models of QASP formulas in terms of policies, which represent decision-making strategies that determine how existentially quantified variables should be assigned, given the conditions set by universally quantified variables. As a main contribution, we present an algorithm for policy extraction under QASP semantics, inspired by the Equilibrium Logic semantics for general ASP theories.

Electronic Proceedings in Theoretical Computer ScienceVol. 439
Université d'Angers (FR)
Peace, Justice and strong institutions
Openalex Percentile: Top 93%
Logic, Reasoning, and Knowledge
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