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Game Characterization of Probabilistic Bisimilarity, and Applications to Pushdown Automata

LMCS vol.Volume 14, Issue 42018
Vojtěch Forejt, Petr Jančar, Stefan Kiefer, James Worrell

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原文摘要(Abstract)

We study the bisimilarity problem for probabilistic pushdown automata (pPDA) and subclasses thereof. Our definition of pPDA allows both probabilistic and non-deterministic branching, generalising the classical notion of pushdown automata (without epsilon-transitions). We first show a general characterization of probabilistic bisimilarity in terms of two-player games, which naturally reduces checking bisimilarity of probabilistic labelled transition systems to checking bisimilarity of standard (non-deterministic) labelled transition systems. This reduction can be easily implemented in the framework of pPDA, allowing to use known results for standard (non-probabilistic) PDA and their subclasses. A direct use of the reduction incurs an exponential increase of complexity, which does not matter in deriving decidability of bisimilarity for pPDA due to the non-elementary complexity of the problem. In the cases of probabilistic one-counter automata (pOCA), of probabilistic visibly pushdown automata (pvPDA), and of probabilistic basic process algebras (i.e., single-state pPDA) we show that an implicit use of the reduction can avoid the complexity increase; we thus get PSPACE, EXPTIME, and 2-EXPTIME upper bounds, respectively, like for the respective non-probabilistic versions. The bisimilarity problems for OCA and vPDA are known to have matching lower bounds (thus being PSPACE-complete and EXPTIME-complete, respectively); we show that these lower bounds also hold for fully probabilistic versions that do not use non-determinism.

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BibTeX
@article{paperbot357,
  title = {Game Characterization of Probabilistic Bisimilarity, and Applications to Pushdown Automata},
  author = {Vojtěch Forejt and Petr Jančar and Stefan Kiefer and James Worrell},
  journal = {Logical Methods in Computer Science},
  volume = {Volume 14, Issue 4},
  year = {2018},
  doi = {10.23638/lmcs-14(4:13)2018}
}