Synthesis of Timeline-Based Planning Strategies Avoiding Determinization

Renato Acampora
(University of Udine, Italy)
Dario Della Monica
(University of Udine, Italy)
Luca Geatti
(University of Udine, Italy)
Nicola Gigante
(Free University of Bozen-Bolzano, Italy)
Angelo Montanari
(University of Udine, Italy)
Pietro Sala
(University of Verona, Italy)

Qualitative timeline-based planning models domains as sets of independent, but interacting, components whose behaviors over time, the timelines, are governed by sets of qualitative temporal constraints (ordering relations), called synchronization rules. Its plan-existence problem has been shown to be PSPACE-complete; in particular, PSPACE-membership has been proved via reduction to the nonemptiness problem for nondeterministic finite automata. However, nondeterministic automata cannot be directly used to synthesize planning strategies as a costly determinization step is needed. In this paper, we identify a large fragment of qualitative timeline-based planning whose plan-existence problem can be directly mapped into the nonemptiness problem of deterministic finite automata, which can then be exploited to synthesize strategies. In addition, we identify a maximal subset of Allen's relations that fits into such a deterministic fragment.

In Antonis Achilleos and Adrian Francalanza: Proceedings Fifteenth International Symposium on Games, Automata, Logics, and Formal Verification (GandALF 2024), Reykjavik, Iceland, 19-21 June 2024, Electronic Proceedings in Theoretical Computer Science 409, pp. 5–18.
Published: 30th October 2024.

ArXived at: https://dx.doi.org/10.4204/EPTCS.409.5 bibtex PDF
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