Labeled transition systems are typically used to represent the behavior of nondeterministic processes, with labeled transitions defining a one-step state to-state reachability relation. This model has been recently made more general by modifying the transition relation in such a way that it associates with any source state and transition label a reachability distribution, i.e., a function mapping each possible target state to a value of some domain that expresses the degree of one-step reachability of that target state. In this extended abstract, we show how the resulting model, called ULTraS from Uniform Labeled Transition System, can be naturally used to give semantics to a fully nondeterministic, a fully probabilistic, and a fully stochastic variant of a CSP-like process language.

Uniform Labeled Transition Systems for Nondeterministic, Probabilistic, and Stochastic Process Calculi / Marco Bernardo;Rocco De Nicola;Michele Loreti. - In: ELECTRONIC PROCEEDINGS IN THEORETICAL COMPUTER SCIENCE. - ISSN 2075-2180. - ELETTRONICO. - 60:(2011), pp. 66-75. (Intervento presentato al convegno First International Workshop on Process Algebra and Coordination) [10.4204/EPTCS.60.5].

Uniform Labeled Transition Systems for Nondeterministic, Probabilistic, and Stochastic Process Calculi

LORETI, MICHELE
2011

Abstract

Labeled transition systems are typically used to represent the behavior of nondeterministic processes, with labeled transitions defining a one-step state to-state reachability relation. This model has been recently made more general by modifying the transition relation in such a way that it associates with any source state and transition label a reachability distribution, i.e., a function mapping each possible target state to a value of some domain that expresses the degree of one-step reachability of that target state. In this extended abstract, we show how the resulting model, called ULTraS from Uniform Labeled Transition System, can be naturally used to give semantics to a fully nondeterministic, a fully probabilistic, and a fully stochastic variant of a CSP-like process language.
2011
First International Workshop on Process Algebra and Coordination
Marco Bernardo;Rocco De Nicola;Michele Loreti
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/602010
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