Description

Book Synopsis
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.

Trade Review
The book will certainly be appreciated by researchers and graduate students in computer science, mathematics and philosophy and, in particular, by all interested in the complicated relations between subjective and objective interpretations of probabilistic phenomena. * EMS Newsletter *
Bayesian Nets and Causality is a very well-written and well-organized book ... No doubt it will be recognized as a very important contribution to the philosophy of probability and causality by a young distinguished philosopher. * Sungho Choi, Mind *

Table of Contents
Introduction ; Probability ; Bayesian Nets ; Causal Nets: Foundational Problems ; Objective Bayesianism ; Two-Stage Bayesian Nets ; Causality ; Discovering Causal Relationships ; Epistemic Causality ; Recursive Causality ; Logic ; Language Change ; References ; Index

Bayesian Nets and Causality Philosophical and Computational Foundations

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A Hardback by Jon Williamson

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    View other formats and editions of Bayesian Nets and Causality Philosophical and Computational Foundations by Jon Williamson

    Publisher: Oxford University Press, USA
    Publication Date: 12/23/2004 12:00:00 AM
    ISBN13: 9780198530794, 978-0198530794
    ISBN10: 019853079X

    Description

    Book Synopsis
    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.

    Trade Review
    The book will certainly be appreciated by researchers and graduate students in computer science, mathematics and philosophy and, in particular, by all interested in the complicated relations between subjective and objective interpretations of probabilistic phenomena. * EMS Newsletter *
    Bayesian Nets and Causality is a very well-written and well-organized book ... No doubt it will be recognized as a very important contribution to the philosophy of probability and causality by a young distinguished philosopher. * Sungho Choi, Mind *

    Table of Contents
    Introduction ; Probability ; Bayesian Nets ; Causal Nets: Foundational Problems ; Objective Bayesianism ; Two-Stage Bayesian Nets ; Causality ; Discovering Causal Relationships ; Epistemic Causality ; Recursive Causality ; Logic ; Language Change ; References ; Index

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