Bayesian Nets and Causality: Philosophical and Computational Foundations
Author(s)
Williamson, Jon
Williamson, Jon
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. Probability -- Bayesian Nets -- Causal Nets : Foundational Problems -- Objective Bayesianism -- Two-stage Bayesian Nets -- Causality -- Discovering Causal Relationships -- Epistemic Causality -- Recursive Causality -- Logic -- Language Change. Jon Williamson. Includes Bibliographical References (p. 219-234) And Index.
Keywords
Bayesian statistical decision theory, Causality (Physics), Causation, QA279.5 .W547 2005, 519.542
Bayesian statistical decision theory, Causality (Physics), Causation, QA279.5 .W547 2005, 519.542
Name in long format: | Bayesian Nets and Causality: Philosophical and Computational Foundations |
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ISBN-10: | 019853079X |
ISBN-13: | 9780198530794 |
Book pages: | 239 |
Book language: | en |
Edition: | 1 |
Binding: | Hardcover |
Publisher: | Oxford University Press |
Dimensions: | Height: 0.76 Inches, Length: 9.48 Inches, Weight: 1.29190885532 Pounds, Width: 6.5 Inches |