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Statistical Relational Artificial Intelligence : Logic, Probability, and Computation - Luc de Raedt

Statistical Relational Artificial Intelligence

Logic, Probability, and Computation

Paperback Published: 24th March 2016
ISBN: 9781627058414
Number Of Pages: 189

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An intelligent agent interacting with the real world will encounter individual people, courses, test results, drugs prescriptions, chairs, boxes, etc., and needs to reason about properties of these individuals and relations among them as well as cope with uncertainty.

Uncertainty has been studied in probability theory and graphical models, and relations have been studied in logic, in particular in the predicate calculus and its extensions. This book examines the foundations of combining logic and probability into what are called relational probabilistic models. It introduces representations, inference, and learning techniques for probability, logic, and their combinations.

The book focuses on two representations in detail: Markov logic networks, a relational extension of undirected graphical models and weighted first-order predicate calculus formula, and Problog, a probabilistic extension of logic programs that can also be viewed as a Turing-complete relational extension of Bayesian networks.

ISBN: 9781627058414
ISBN-10: 1627058419
Series: Synthesis Lectures on Artificial Intelligence and Machine Le
Audience: General
Format: Paperback
Language: English
Number Of Pages: 189
Published: 24th March 2016
Country of Publication: US
Dimensions (cm): 23.5 x 19.05  x 1.02
Weight (kg): 0.34

Earn 277 Qantas Points
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