Stochastic Relations

Foundations for Markov Transition Systems

Ernst-Erich Doberkat

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English

Chapman & Hall/CRC
05 September 2019

Stochastics

Series: Chapman & Hall/CRC Studies in Informatics Series

Collecting information previously scattered throughout the vast literature, including the author’s own research, Stochastic Relations: Foundations for Markov Transition Systems develops the theory of stochastic relations as a basis for Markov transition systems.

After an introduction to the basic mathematical tools from topology, measure theory, and categories, the book examines the central topics of congruences and morphisms, applies these to the monoidal structure, and defines bisimilarity and behavioral equivalence within this framework. The author views developments from the general theory of coalgebras in the context of the subprobability functor. These tools show that bisimilarity and behavioral and logical equivalence are the same for general modal logics and for continuous time stochastic logic with and without a fixed point operator.

With numerous problems and several case studies, this book is an invaluable study of an important aspect of computer science theory.

By: Ernst-Erich Doberkat
Imprint: Chapman & Hall/CRC
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 1.140kg
ISBN: 9780367389116
ISBN 10: 0367389118
Series: Chapman & Hall/CRC Studies in Informatics Series
Pages: 376
Publication Date: 05 September 2019
Audience: College/higher education , Primary
Format: Paperback
Publisher's Status: Active

Introduction. A Gentle Tutorial to All Things Considered. Stochastic Relations as Monads. Eilenberg–Moore Algebras for Stochastic Relations. The Existence of Semi-Pullbacks. Congruences and Bisimulations. Interpreting Modal and Temporal Logics. Appendix. Bibliography. Index.

Doberkat, Ernst-Erich