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

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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PRINTED FROM OXFORD SCHOLARSHIP ONLINE (oxford.universitypressscholarship.com). (c) Copyright Oxford University Press, 2022. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use.date: 26 June 2022

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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