Bayesian Nets and Causality: Philosophical and Computational Foundations

Williamson, Jon (2004) Bayesian Nets and Causality: Philosophical and Computational Foundations. Oxford University Press, Oxford, 250 pp. ISBN 978-0-19-853079-4. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:7454)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.

Abstract

Bayesian nets are widely used in artificial intelligence as a calculus for casual reasoning, enabling machines to make predictions, perform diagnoses, take decisions and even to discover casual relationships. This book, aimed at researchers and graduate students in computer science, mathematics and philosophy, brings together two important research topics: how to automate reasoning in artificial intelligence, and the nature of causality and probability in philosophy.

Item Type:	Book
Subjects:	B Philosophy. Psychology. Religion > B Philosophy (General) Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science Q Science > QA Mathematics (inc Computing science) > QA273 Probabilities
Divisions:	Divisions > Division of Arts and Humanities > School of Culture and Languages
Depositing User:	Jon Williamson
Date Deposited:	06 Nov 2008 23:26 UTC
Last Modified:	16 Nov 2021 09:45 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/7454 (The current URI for this page, for reference purposes)

University of Kent Author Information

Williamson, Jon.

Creator's ORCID:	https://orcid.org/0000-0003-0514-4209
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