Compiling Metric Temporal Answer Set Programming
Becker, Arvid, Cabalar, Pedro, Diéguez, Martin, Romero, Javier, Hahn, Susana, Schaub, Torsten
–arXiv.org Artificial Intelligence
We develop a computational approach to Metric Answer Set Programming (ASP) to allow for expressing quantitative temporal constrains, 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.
arXiv.org Artificial Intelligence
Jun-11-2025
- Country:
- Europe
- France (0.04)
- Germany > Brandenburg
- Potsdam (0.04)
- Spain (0.04)
- North America > United States
- Texas (0.04)
- Europe
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- Research Report (0.40)
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