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 9780198530794. (The full text of this publication is not available from this repository)

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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: Faculties > Humanities > School of European Culture and Languages
Depositing User: Jon Williamson
Date Deposited: 06 Nov 2008 23:26
Last Modified: 02 Jun 2014 08:41
Resource URI: http://kar.kent.ac.uk/id/eprint/7454 (The current URI for this page, for reference purposes)
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