Use this link to cite:
http://hdl.handle.net/2183/42064 Compiling Metric Temporal Answer Set Programming
Loading...
Identifiers
Publication date
Authors
Becker, Arvid
Diéguez Lodeiro, Martín
Romero Davila, Javier
Hahn, Susana
Schaub, Torsten
Advisors
Other responsabilities
Journal Title
Bibliographic citation
Becker, A., Cabalar, P., Diéguez, M., Hahn, S., Romero, J., Schaub, T. (2025). Compiling Metric Temporal Answer Set Programming. In: Dodaro, C., Gupta, G., Martinez, M.V. (eds) Logic Programming and Nonmonotonic Reasoning. LPNMR 2024. Lecture Notes in Computer Science(), vol 15245. Springer, Cham. https://doi.org/10.1007/978-3-031-74209-5_2
Type of academic work
Academic degree
Abstract
[Abstract]: 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.
Description
Presented in the following conference: LPNMR 2024: 17th International Conference on Logic Programming and Nonmonotonic Reasoning, Dallas, TX, USA, October 11–14, 2024
This version of the conference paper has been accepted for publication, after peer review; it is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/978-3-031-74209-5_2.
This version of the conference paper has been accepted for publication, after peer review; it is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/978-3-031-74209-5_2.
Editor version
Rights
© 2025 Springer Nature Switzerland AG. This version is subject to Springer Nature’s AM terms of use - https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms







