Implementing Metric Temporal Answer Set Programming

Fuente: arXiv
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Main Authors: Becker, Arvid, Cabalar, Pedro, Diéguez, Martin, Hahn, Susana, Romero, Javier, Schaub, Torsten
Format: Preprint
Published: 2026
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author Becker, Arvid
Cabalar, Pedro
Diéguez, Martin
Hahn, Susana
Romero, Javier
Schaub, Torsten
author_facet Becker, Arvid
Cabalar, Pedro
Diéguez, Martin
Hahn, Susana
Romero, Javier
Schaub, Torsten
contents We develop a computational approach to Metric Answer Set Programming (ASP) to allow for expressing quantitative temporal constraints, like durations and deadlines. A central challenge is to maintain scalability when dealing with fine-grained timing constraints, which can significantly exacerbate ASP's grounding bottleneck. To address this issue, we leverage extensions of ASP with difference constraints, a simplified form of linear constraints, to handle time-related aspects externally. Our approach effectively decouples metric ASP from the granularity of time, resulting in a solution that is unaffected by time precision.
format Preprint
id arxiv_https___arxiv_org_abs_2601_20735
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Implementing Metric Temporal Answer Set Programming
Becker, Arvid
Cabalar, Pedro
Diéguez, Martin
Hahn, Susana
Romero, Javier
Schaub, Torsten
Artificial Intelligence
Logic in Computer Science
I.2.8; I.2.4
We develop a computational approach to Metric Answer Set Programming (ASP) to allow for expressing quantitative temporal constraints, like durations and deadlines. A central challenge is to maintain scalability when dealing with fine-grained timing constraints, which can significantly exacerbate ASP's grounding bottleneck. To address this issue, we leverage extensions of ASP with difference constraints, a simplified form of linear constraints, to handle time-related aspects externally. Our approach effectively decouples metric ASP from the granularity of time, resulting in a solution that is unaffected by time precision.
title Implementing Metric Temporal Answer Set Programming
topic Artificial Intelligence
Logic in Computer Science
I.2.8; I.2.4
url https://arxiv.org/abs/2601.20735