Webinar: Peter BRÖSSEL
16:00 – 18:00 (Time Zone: GMT + 02:00)
Peter BRÖSSEL (Ruhr-University Bochum)
From perception to belief: Bayesian psychology completed
Bayesianism can be characterized as the following twofold position: (i) rational credences obey the probability calculus, (ii) rational learning — i.e., the updating of credences — is regulated by some form of conditionalization. While the formalism behind various forms of conditionalization have been explored in detail, the philosophical application to learning from experience is still deeply problematic: the psychology of Bayesian learning is incomplete. The first part of the paper provides an overview over the most important epistemological problems that plague our Bayesian theories of learning from experience. In the second part, we introduce a new account of rational learning from experience and argue that it solves these problems.
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