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Optimal Translation of LTL to Limit Deterministic Automata
Ist Teil von
Tools and Algorithms for the Construction and Analysis of Systems, p.113-129
Ort / Verlag
Berlin, Heidelberg: Springer Berlin Heidelberg
Link zum Volltext
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
A crucial step in model checking Markov Decision Processes (MDP) is to translate the \documentclass[12pt]{minimal}
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\begin{document}$$\mathrm {LTL}$$\end{document} specification into automata. Efforts have been made in improving deterministic automata construction for LTL but such translations are double exponential in the worst case. For model checking MDPs though limit deterministic automata suffice. Recently it was shown how to translate the fragment \documentclass[12pt]{minimal}
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\begin{document}$$\mathrm {LTL}{}{\setminus }{G}{U}$$\end{document} to exponential sized limit deterministic automata which speeds up the model checking problem by an exponential factor for that fragment. In this paper we show how to construct limit deterministic automata for full LTL. This translation is not only efficient for \documentclass[12pt]{minimal}
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\begin{document}$$\mathrm {LTL}{}{\setminus }{G}{U}$$\end{document} but for a larger fragment \documentclass[12pt]{minimal}
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\begin{document}$$\mathrm {LTL}_\mathrm{D}$$\end{document} which is provably more expressive. We show experimental results demonstrating that our construction yields smaller automata when compared to state of the art techniques that translate LTL to deterministic and limit deterministic automata.