Compiling Metric Temporal Answer Set Programming
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866915335145259008 |
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| author | Becker, Arvid Cabalar, Pedro Diéguez, Martin Romero, Javier Hahn, Susana Schaub, Torsten |
| author_facet | Becker, Arvid Cabalar, Pedro Diéguez, Martin Romero, Javier Hahn, Susana Schaub, Torsten |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_08150 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Compiling Metric Temporal Answer Set Programming Becker, Arvid Cabalar, Pedro Diéguez, Martin Romero, Javier Hahn, Susana Schaub, Torsten Artificial Intelligence Logic in Computer Science I.2.4; I.2.8 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. |
| title | Compiling Metric Temporal Answer Set Programming |
| topic | Artificial Intelligence Logic in Computer Science I.2.4; I.2.8 |
| url | https://arxiv.org/abs/2506.08150 |