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Metric Temporal Equilibrium Logic over Timed Traces

Published online by Cambridge University Press:  18 September 2024

ARVID BECKER
Affiliation:
University of Potsdam, Germany (e-mail: arvidbecker@uni-potsdam.de)
PEDRO CABALAR
Affiliation:
University of Corunna, Spain (e-mail: cabalar@udc.es)
MARTÍN DIÉGUEZ
Affiliation:
LERIA, Universit´e d’Angers, France (e-mail: martin.dieguezlodeiro@univ-angers.fr)
TORSTEN SCHAUB
Affiliation:
University of Potsdam, Germany (e-mails: torsten@cs.uni-potsdam.de, schuhmann@uni-potsdam.de)
ANNA SCHUHMANN
Affiliation:
University of Potsdam, Germany (e-mails: torsten@cs.uni-potsdam.de, schuhmann@uni-potsdam.de)
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Abstract

In temporal extensions of answer set programming (ASP) based on linear time, the behavior of dynamic systems is captured by sequences of states. While this representation reflects their relative order, it abstracts away the specific times associated with each state. However, timing constraints are important in many applications like, for instance, when planning and scheduling go hand in hand. We address this by developing a metric extension of linear-time temporal equilibrium logic, in which temporal operators are constrained by intervals over natural numbers. The resulting Metric Equilibrium Logic (MEL) provides the foundation of an ASP-based approach for specifying qualitative and quantitative dynamic constraints. To this end, we define a translation of metric formulas into monadic first-order formulas and give a correspondence between their models in MEL and Monadic Quantified Equilibrium Logic, respectively. Interestingly, our translation provides a blue print for implementation in terms of ASP modulo difference constraints.

Information

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press
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