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Implementing Metric Temporal Answer Set Programming

Arvid Becker, Pedro Cabalar, Martin Diéguez, Susana Hahn, Javier Romero, Torsten Schaub

TL;DR

This work develops a computational approach to Metric Answer Set Programming to allow for expressing quantitative temporal constraints, like durations and deadlines, and decouples metric ASP from the granularity of time, resulting in a solution that is unaffected by time precision.

Abstract

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.

Implementing Metric Temporal Answer Set Programming

TL;DR

This work develops a computational approach to Metric Answer Set Programming to allow for expressing quantitative temporal constraints, like durations and deadlines, and decouples metric ASP from the granularity of time, resulting in a solution that is unaffected by time precision.

Abstract

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.
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