Are Good-for-Games Automata Good for Probabilistic Model Checking?

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Are Good-for-Games Automata Good for Probabilistic Model Checking?

Joachim KleinJoachim Klein,  David MüllerDavid Müller,  Christel BaierChristel Baier,  Sascha KlüppelholzSascha Klüppelholz
Joachim Klein, David Müller, Christel Baier, Sascha Klüppelholz
Are Good-for-Games Automata Good for Probabilistic Model Checking?
Proc. of the 8th International Conference on Language and Automata Theory and Applications (LATA), volume 8370 of Lecture Notes in Computer Science, 453--465, 2014. Springer
  • KurzfassungAbstract
    The potential double exponential blow-up for the generation of deterministic ω-automata for linear temporal logic formulas motivates research on weaker forms of determinism. One of these notions is the good-for-games property that has been introduced by Henzinger and Piterman together with an algorithm for generating good-for-games automata from nondeterministic Büchi automata. The contribution of our paper is twofold. First, we report on an implementation of this algorithms and exhaustive experiments. Second, we show how good-for-games automata can be used for the quantitative analysis of systems modeled by Markov decision processes against ω-regular specifications and evaluate this new method by a series of experiments.
  • Forschungsgruppe:Research Group: Algebraische und logische Grundlagen der InformatikAlgebraic and Logical Foundations of Computer Science
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-04921-2_37.
@inproceedings{KMBK2014,
  author    = {Joachim Klein and David M{\"{u}}ller and Christel Baier and
               Sascha Kl{\"{u}}ppelholz},
  title     = {Are Good-for-Games Automata Good for Probabilistic Model
               Checking?},
  booktitle = {Proc. of the 8th International Conference on Language and
               Automata Theory and Applications (LATA)},
  series    = {Lecture Notes in Computer Science},
  volume    = {8370},
  publisher = {Springer},
  year      = {2014},
  pages     = {453--465},
  doi       = {10.1007/978-3-319-04921-2_37}
}