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Bayesian Nets and CausalityPhilosophical and Computational Foundations$
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Jon Williamson

Print publication date: 2004

Print ISBN-13: 9780198530794

Published to Oxford Scholarship Online: September 2007

DOI: 10.1093/acprof:oso/9780198530794.001.0001

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INTRODUCTION

INTRODUCTION

Chapter:
(p.1) 1 INTRODUCTION
Source:
Bayesian Nets and Causality
Author(s):

Jon Williamson (Contributor Webpage)

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780198530794.003.0001

This chapter describes the central claims of the book. From a philosophical point of view, the book argues for an objective Bayesian interpretation of probability and an epistemic interpretation of causality, and claims that these offer a firm foundation for causal modelling. From the computational point of view, the book investigates the relationship between Bayesian nets and maximum entropy methods, and develops a general computational framework for probabilistic and causal reasoning.

Keywords:   computation, computing, objective Bayesianism, epistemic causality, maximum entropy, maxent

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