Semantics of the Probabilistic Typed Lambda Calculus - Markov Chain Semantics, Termination Behavior, and Denotational Semantics (Hardcover, 1st ed. 2017)

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 distributions as domains. The work mostly appeals to researchers in theoretical computer science focusing on probabilistic programming, randomized algorithms, or programming language theory.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Release date:	March 2017
First published:	2017
Authors:	Dirk Draheim
Dimensions:	235 x 155 x 19mm (L x W x T)
Format:	Hardcover
Pages:	218
Edition:	1st ed. 2017
ISBN-13:	978-3-642-55197-0
Categories:	Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Computing & IT > Computer programming > Software engineering Books > Computing & IT > Computer programming > Programming languages > General
LSN:	3-642-55197-1
Barcode:	9783642551970

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