Notice that all this makes one aspect of the interpretation problem of   Section 4.2.1 reappear: how will the prior distribution over hypotheses make itself apparent in behavior, so that it can rightfully be interpreted in terms of belief, here understood as a willingness to act? One response to this question is to turn to different motivations for representing degrees of beliefs by means of probability assignments.  Following work by De Finetti, several authors have proposed vindications of probabilistic expressions of belief that are not based on behavioral goals, but rather on the epistemic goal of holding beliefs that accurately represent the world, e.g., Rosenkrantz (1981), Joyce (2001), Leitgeb and Pettigrew (2010), Easwaran (2013). A strong generalization of this idea is achieved in Schervish, Seidenfeld and Kadane (2009), which builds on a longer tradition of using scoring rules for achieving statistical aims. An alternative approach is that any formal representation of belief must respect certain logical constraints, e.g., Cox provides an argument for the expression of belief in terms of probability assignments on the basis of the nature of partial belief per se. 