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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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Bayesian Nets and Causality

Jon Williamson (Contributor Webpage)

Oxford University Press

This chapter discusses the situation in which an agent's language or domain may change. It is argued — against a principle of language invariance — that language contains implicit knowledge and so degrees of belief should be expected to change when language changes. A conservativity principle, which demands that new degrees of belief be as close as possible to old degrees of belief, is rejected. An overview is given of formal methods for revising beliefs as language changes, and maximum entropy methods are advocated.

Keywords:   language invariance, new problem of induction, principle of indifference, conservativity, cross entropy, maximum entropy

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