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Compiling Metric Temporal Answer Set Programming

  • arXiv (Cornell University)
  • Cornell University
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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.

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DOI
10.48550/arxiv.2506.08150
OpenAlex
W4417255469
Document type
preprint
Language
EN
Source
arXiv (Cornell University)
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