<p>One of the currently most active research areas within Artificial Intelligence is the field of Machine Learning. which involves the study and development of computational models of learning processes. A major goal of research in this field is to build computers capable of improving their performa
Validation of Stochastic Systems: A Guide to Current Research
โ Scribed by Ana Sokolova, Erik P. de Vink (auth.), Christel Baier, Boudewijn R. Haverkort, Holger Hermanns, Joost-Pieter Katoen, Markus Siegle (eds.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 2004
- Tongue
- English
- Leaves
- 472
- Series
- Lecture Notes in Computer Science 2925
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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.
โฆ Table of Contents
Front Matter....Pages -
Probabilistic Automata: System Types, Parallel Composition and Comparison....Pages 1-43
Tutte le Algebre Insieme: Concepts, Discussions and Relations of Stochastic Process Algebras with General Distributions....Pages 44-88
An Overview of Probabilistic Process Algebras and Their Equivalences....Pages 89-123
Verifying Qualitative Properties of Probabilistic Programs....Pages 124-146
On Probabilistic Computation Tree Logic....Pages 147-188
Model Checking for Probabilistic Timed Systems....Pages 189-229
Serial Disk-Based Analysis of Large Stochastic Models....Pages 230-255
Kronecker Based Matrix Representations for Large Markov Models....Pages 256-295
Symbolic Representations and Analysis of Large Probabilistic Systems....Pages 296-338
Probabilistic Methods in State Space Analysis....Pages 339-383
Analysing Randomized Distributed Algorithms....Pages 384-418
An Abstraction Framework for Mixed Non-deterministic and Probabilistic Systems....Pages 419-444
The Verification of Probabilistic Lossy Channel Systems....Pages 445-465
Back Matter....Pages -
โฆ Subjects
Computation by Abstract Devices; Logics and Meanings of Programs; Software Engineering; Operating Systems; Processor Architectures; Simulation and Modeling
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