Motivating Objective Bayesianism: From Empirical Constraints to Objective Probabilities
Jon Williamson, William Harper, Gregory R. Wheeler, Henry E. Kyburg · Kent Academic Repository (University of Kent) · 2006
Objective Bayesian methodology is widely used in statistics, physics, engineering and artificial intelligence. However, every justification for this method has contained glaring holes. This paper offered an entirely new, decision-theoretic justification of objective Bayesianism. Kyburg goes half-way towards objective Bayesianism. He accepts that frequencies constrain rational belief to an interval but stops short of isolating an optimal degree of belief within this interval. I examine the case for going the whole hog.