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 States Dimensions:
Height: 234mm,
Width: 156mm,
Spine: 25mm
Weight: 657g ISBN:9781584889410 ISBN 10: 1584889411 Series:Chapman & Hall/CRC Studies in Informatics Series Pages: 370 Publication Date:17 May 2007 Audience:
College/higher education
,
Primary
Format:Hardback 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.
