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Bayesian nets and causality [electronic resource] : philosophical and computational foundations / Jon Williamson.

By: Williamson, JonMaterial type: Text

TextLanguage: English Publisher: Oxford : Oxford University Press, 2005Edition: First published 2005Description: 1 online resource (ix, 239 pages) ; illustrations, chartsContent type: text Media type: unmediated Carrier type: volumeISBN: 9780191712982 (ebook) :Subject(s): Bayesian statistical decision theory | CausationAdditional physical formats: Print version: No titleLOC classification: QA279.5 .W55 2005Online resources: e-book Full-text access Summary: Bayesian nets are used in artificial intelligence as a calculus for causal reasoning, enabling machines to make predictions perform diagnoses, take decisions and even to discover causal relationships. This book brings together how to automate reasoning in artificial intelligence, and the nature of causality and probability in philosophy.

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Item type	Current library	Collection	Call number	Status	Date due	Barcode
E-Books	MEF eKitap Kütüphanesi	Oxford Scholarship Online eBook - EBA	QA 279.5 .W55 2005 (Browse shelf (Opens below))	Available		OXFORD00019

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Includes bibliographical references (pages 219-224) and index (pages 235-239).

Bayesian nets are used in artificial intelligence as a calculus for causal reasoning, enabling machines to make predictions perform diagnoses, take decisions and even to discover causal relationships. This book brings together how to automate reasoning in artificial intelligence, and the nature of causality and probability in philosophy.

Description based on print version record.