Herzlich Willkommen!
This book takes a foundational approach to the semantics of probabilistic programming. It elaborates a rigorous Markov chain semantics for the probabilistic typed lambda calculus, which is the typed lambda calculus with recursion plus probabilistic choice.The book starts with a recapitulation of the basic mathematical tools needed throughout the book, in particular Markov chains, graph theory and domain theory, and also explores the topic of inductive definitions. It then defines the syntax and establishes the Markov chain semantics of the probabilistic lambda calculus and, furthermore, both a graph and a tree semantics. Based on that, it investigates the termination behavior of probabilistic programs. It introduces the notions of termination degree, bounded termination and path stoppability and investigates their mutual relationships. Lastly, it defines a denotational semantics of the probabilistic lambda calculus, based on continuous functions over probability distributionsas domains.The work mostly appeals to researchers in theoretical computer science focusing on probabilistic programming, randomized algorithms, or programming language theory.
Autor: Draheim, Dirk
ISBN: 9783662568729
Sprache: Englisch
Seitenzahl: 218
Produktart: Kartoniert / Broschiert
Verlag: Springer Berlin
Veröffentlicht: 04.05.2018
Untertitel: Markov Chain Semantics, Termination Behavior, and Denotational Semantics
Schlagworte: Computability Lambda calculus Markov chains Probabilistic computation Programming language theory Randomized algorithms Verification by model checking

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