附註:Modelling Stochastic Systems -- Probabilistic Automata: System Types, Parallel Composition and Comparison -- Tutte le Algebre Insieme: Concepts, Discussions and Relations of Stochastic Process Algebras with General Distributions -- An Overview of Probabilistic Process Algebras and Their Equivalences -- Model Checking of Stochastic Systems -- Verifying Qualitative Properties of Probabilistic Programs -- On Probabilistic Computation Tree Logic -- Model Checking for Probabilistic Timed Systems -- Representing Large State Spaces -- Serial Disk-Based Analysis of Large Stochastic Models -- Kronecker Based Matrix Representations for Large Markov Models -- Symbolic Representations and Analysis of Large Probabilistic Systems -- Probabilistic Methods in State Space Analysis -- Deductive Verification of Stochastic Systems -- Analysing Randomized Distributed Algorithms -- An Abstraction Framework for Mixed Non-deterministic and Probabilistic Systems -- The Verification of Probabilistic Lossy Channel Systems.
Includes bibliographical references and index.
摘要:This tutorial volume presents a coherent and well-balanced introduction to the validation of stochastic systems; it is based on a GI/Dagstuhl research seminar. Supervised by the seminar organizers and volume editors, established researchers in the area as well as graduate students put together a collection of articles competently covering all relevant issues in the area. The lectures are organized in topical sections on: modeling stochastic systems, model checking of stochastic systems, representing large state spaces, deductive verification of stochastic systems.
