Bounded Timed Propositional Temporal Logic with past captures timeline-based planning with bounded constraints

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Abstract

Within the timeline-based framework, planning problems are modeled as sets of independent, but interacting, components whose behavior over time is described by a set of temporal constraints. Timeline-based planning is being used successfully in a number of complex tasks, but its theoretical properties are not so well studied. In particular, while it is known that Linear Temporal Logic (LTL) can capture classical action-based planning, a similar logical characterization was not available for timeline-based planning formalisms. This paper shows that timeline-based planning with bounded temporal constraints can be captured by a bounded version of Timed Propositional Temporal Logic, augmented with past operators, which is an extension of LTL originally designed for the verification of real-time systems. As a byproduct, we get that the proposed logic is expressive enough to capture temporal action-based planning problems.

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Della Monica, D., Gigante, N., Montanari, A., Sala, P., & Sciavicco, G. (2017). Bounded Timed Propositional Temporal Logic with past captures timeline-based planning with bounded constraints. In IJCAI International Joint Conference on Artificial Intelligence (Vol. 0, pp. 1008–1014). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2017/140

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