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Compiling Metric Temporal Answer Set Programming

arXiv 2506.08150 ↗First posted 9 Jun 2025cs.AI cs.LOcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 7 of its 24 references that are in the map. First posted on arXiv 9 Jun 2025.

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7 of 24 references.

References · 7

  1. 2020How to build your own ASP-based system?!cited by 20
  2. 2017Clingo goes Linear Constraints over Reals and Integerscited by 18
  3. 2017Clingcon: The Next Generationcited by 15
  4. 2022MeTeoR: Practical Reasoning in Datalog with Metric Temporal Operatorscited by 7
  5. 2020Towards Metric Temporal Answer Set Programmingcited by 5
  6. 2023Metric Temporal Equilibrium Logic over Timed Tracescited by 4
  7. 2013Aspartame: Solving Constraint Satisfaction Problems with Answer Set Programmingcited by 2

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