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Expressiveness and Conciseness of Timed Automata for the Verification of Stochastic Models

Authors: Donatelli, Susanna; Haddad, Serge;

Expressiveness and Conciseness of Timed Automata for the Verification of Stochastic Models

Abstract

Timed Automata are a well-known formalism for specifying timed behaviours. In this paper we are concerned with Timed Automata for the specification of timed behaviour of Continuous Time Markov Chains (CTMC), as used in the stochastic temporal logic CSL[Formula: see text]. A timed path formula of CSL[Formula: see text] is specified by a Deterministic Timed Automaton (DTA) that features two kinds of transitions: synchronizing transitions (triggered by CTMC transitions) and autonomous transitions (triggered when a clock reaches a given threshold). Other definitions of CSL[Formula: see text] are based on DTAs that do not include autonomous transitions. This raises the natural question: do autonomous transitions enhance expressiveness and/or conciseness of DTAs? We prove that this is the case and we provide a syntactical characterization of DTAs for which autonomous transitions do not add expressive power, but allow one to define exponentially more concise DTAs.

Country
France
Keywords

Automata Theory, Theory of computation → Formal languages and automata theory, Mathematics of computing → Discrete mathematics, Partially observed systems, [INFO] Computer Science [cs], Diagnosability, Predictability, Article

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Green
bronze