Kozen introduced probabilistic propositional dynamic logic (PPDL) in 1985 as a compositional framework to reason about probabilistic programs. In this paper we study expressiveness for PPDL and provide a series of results analogues to the classical Hennessy-Milner theorem for modal logic. First, we show that PPDL charaterises probabilistic trace equivalence of probabilistic automata (with outputs). Second, we show that PPDL can be mildly extended to yield a characterisation of probabilistic state bisimulation for PPDL models. Third, we provide a different extension of PPDL, this time characterising probabilistic event bisimulation.

Gu T., Silva A., Zanasi F. (2020). Hennessy-Milner Results for Probabilistic PDL. AMSTERDAM : Elsevier B.V. [10.1016/j.entcs.2020.09.014].

Hennessy-Milner Results for Probabilistic PDL

Zanasi F.
2020

Abstract

Kozen introduced probabilistic propositional dynamic logic (PPDL) in 1985 as a compositional framework to reason about probabilistic programs. In this paper we study expressiveness for PPDL and provide a series of results analogues to the classical Hennessy-Milner theorem for modal logic. First, we show that PPDL charaterises probabilistic trace equivalence of probabilistic automata (with outputs). Second, we show that PPDL can be mildly extended to yield a characterisation of probabilistic state bisimulation for PPDL models. Third, we provide a different extension of PPDL, this time characterising probabilistic event bisimulation.
2020
Proceedings of the 36th International Conference on Mathematical Foundations of Programming Semantics (MFPS)
283
304
Gu T., Silva A., Zanasi F. (2020). Hennessy-Milner Results for Probabilistic PDL. AMSTERDAM : Elsevier B.V. [10.1016/j.entcs.2020.09.014].
Gu T.; Silva A.; Zanasi F.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/946719
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