Many of the difficulties which the earlier way of Jeffrey conditioning faced have been resolved since Field proposed a new way to represent uncertain experiences. The point of his proposal is reduced to what we call “Bayes factors”. The question was then, how effective the Bayes factors actually are, for the problems of conditioning in Bayesianism. Though it is recognized that Bayes factors do not solve all the problems of Jeffrey conditioning, recent researches suggest that the remaining problems can be effectively treated by reformulating those factors in some new ways. The aim of this paper is to seek the reasons why Bayes factors are so effective and successful in their roles. In other words, it tries to explicate the epistemological significance of Bayes factors, looking beyond the formal numerical relations, what they are revealing about the process of problem solving. We will grasp some epistemic properties which make Bayes factors so effective in successful cases. This paper will not just summarize the success of the factors until today, but extract some morals for further researches which will be done with Bayes factors.
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