Williamson, J. (2004) Bayesian nets and causality: philosophical and computational foundations. Oxford University Press, Oxford, 250 pp. ISBN 9780198530794.
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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.
|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:||20 Jan 2012 15:02|
|Resource URI:||http://kar.kent.ac.uk/id/eprint/7454 (The current URI for this page, for reference purposes)|
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