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Bayesian Nets and Causality
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Bayesian Nets and Causality: Philosophical and Computational Foundations

Jon Williamson

Abstract

This book provides an introduction to, and analysis of, the use of Bayesian nets in causal modelling. It puts forward new conceptual foundations for causal network modelling: The book argues that probability and causality need to be interpreted as epistemic notions in order for the key assumptions behind causal models to hold. Under the epistemic view, probability and causality are understood in terms of the beliefs an agent ought to adopt. The book develops an objective Bayesian notion of probability and a corresponding epistemic theory of causality. This yields a general framework for causal ... More

Keywords: Bayesian network, causation, Bayesianism, objective Bayesianism, causal model, epistemic theory, epistemic causality

Bibliographic Information

Print publication date: 2004 Print ISBN-13: 9780198530794
Published to Oxford Scholarship Online: September 2007 DOI:10.1093/acprof:oso/9780198530794.001.0001

Authors

Affiliations are at time of print publication.

Jon Williamson, author
Department of Philosophy, King's College, London
Author Webpage