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Implementing Metric Temporal Answer Set Programming
arXiv CS.AI
CC BY
이 매체는 공공·자유 라이선스로 본문을 직접 표시합니다.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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