{"product_id":"stochastic-relations","title":"Stochastic Relations","description":"\u003cp\u003eCollecting information previously scattered throughout the vast literature, including the author’s own research, \u003cb\u003eStochastic Relations: Foundations for Markov Transition Systems\u003c\/b\u003e develops the theory of stochastic relations as a basis for Markov transition systems.\u003c\/p\u003e\u003cp\u003eAfter 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. \u003c\/p\u003e\u003cp\u003eWith numerous problems and several case studies, this book is an invaluable study of an important aspect of computer science theory.\u003c\/p\u003e","brand":"Taylor \u0026 Francis Ltd","offers":[{"title":"Default Title","offer_id":54243296739672,"sku":"9780367389116","price":78.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9780367389116.jpg?v=1769161527","url":"https:\/\/agendabookshop.com\/products\/stochastic-relations","provider":"Agenda Bookshop","version":"1.0","type":"link"}