Journal of Logic, Language and Information 12 (1):53-97 (2003)
Bayesian probability is normally defined over a fixed language or eventspace. But in practice language is susceptible to change, and thequestion naturally arises as to how Bayesian degrees of belief shouldchange as language changes. I argue here that this question poses aserious challenge to Bayesianism. The Bayesian may be able to meet thischallenge however, and I outline a practical method for changing degreesof belief over changes in finite propositional languages
|Keywords||Bayesian Bayesian network inductive logic language change maximum entropy|
|Categories||categorize this paper)|
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