## Objective Bayesianism with predicate languages. Synthese (2008)

by
Jon Williamson

Citations: | 5 - 5 self |

### BibTeX

@MISC{Williamson08objectivebayesianism,

author = {Jon Williamson},

title = {Objective Bayesianism with predicate languages. Synthese},

year = {2008}

}

### OpenURL

### Abstract

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.