, Volume 163, Issue 3, pp 341–356 | Cite as

Objective Bayesianism with predicate languages



Objective Bayesian probability is often defined over rather simple domains, e.g., finite event spaces or propositional languages. This paper investigates the extension of objective Bayesianism to first-order logical languages. It is argued that the objective Bayesian should choose a probability function, from all those that satisfy constraints imposed by background knowledge, that is closest to a particular frequency-induced probability function which generalises the λ = 0 function of Carnap’s continuum of inductive methods.


Bayesianism Objective Bayesianism Bayesian epistemology Formal epistemology Inductive logic Probabilistic logic 


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© Springer Science+Business Media B.V. 2008

Authors and Affiliations

  1. 1.Department of Philosophy, SECLUniversity of KentCanterburyUK

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