Abstract

Many philosophers claimed that there might be fertile ground for collaboration between IBE and the objective end of the Bayesian methodology. Recent literature is investigated in this chapter, to highlight the latest developments about the possibility of such a collaboration. The merits of the convergence of the two methods are presented. It is argued that arriving on this end is not an easy goal as there are four ways by which subjective considerations may overshadow the objective picture. The existence of subjective virtues, the vagueness of the mapping, the absence of an accurate weighting, and the existence of partial virtues allow the generation of infinitely many different initializations of priors and likelihoods, thus keeping the explanationist away from the objective extreme. Hence, either the explanationist successfully faces up with each one of the four problems so as to converge to the objective end or she ends up in a semi-objective position, whereby the explanatory restrictions allow a bunch of equally good probability distributions.