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