Stochastic Relations: Foundations for Markov Transition Systems, 1st Edition (Paperback) book cover

Stochastic Relations

Foundations for Markov Transition Systems, 1st Edition

By Ernst-Erich Doberkat

Chapman and Hall/CRC

376 pages

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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.

Table of Contents

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.

About the Author

Doberkat, Ernst-Erich

About the Series

Chapman & Hall/CRC Studies in Informatics Series

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Subject Categories

BISAC Subject Codes/Headings:
COMPUTERS / Programming / Games
MATHEMATICS / Probability & Statistics / Bayesian Analysis