Back to Search Start Over

Probabilistic Congruence for Semistochastic Generative Processes.

Authors :
Sassone, Vladimiro
Lanotte, Ruggero
Tini, Simone
Source :
Foundations of Software Science & Computational Structures; 2005, p63-78, 16p
Publication Year :
2005

Abstract

We propose an SOS transition rule format for the generative model of probabilistic processes. Transition rules are partitioned in several strata, giving rise to an ordering relation analogous to those introduced by Ulidowski and Phillips for classic process algebras. Our rule format guarantees that probabilistic bisimulation is a congruence w.r.t. process algebra operations. Moreover, our rule format guarantees that process algebra operations preserve semistochasticity of processes, i.e. the property that the sum of the probability of the moves of any process is either 0 or 1. Finally, we show that most of operations of the probabilistic process algebras studied in the literature are captured by our format, which, therefore, has practical applications. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540253884
Database :
Complementary Index
Journal :
Foundations of Software Science & Computational Structures
Publication Type :
Book
Accession number :
32690396