Learning from experience and conditionalization

Abstract Bayesianism can be characterized as the following twofold position: (i) rational credences obey probability calculus; (ii) learning, i.e., updating of credences, is regulated by some form conditionalization. While formal aspect various forms conditionalization has been explored in detail, philosophical application to learning from experience still deeply problematic. Some philosophers have proposed revise epistemology perception; others provided new accounts that are more line with how we learn perceptual experience. The current investigation argues Bayesian incomplete; perception and reasoning not reconciled.