Philosophy 290-3

This is a course about the use of probability in epistemology. Probability imports assumptions about and imposes constraints on any subject matter you use it to describe. Some of these constraints are well-known, but their implications are not always known or observed. In others it is an open question how much leeway probability allows. We discuss the fate of holism, foundationalism, empiricism, introspective access, self-knowledge, belief in logical truth, and closure of knowledge under known implication. under a probabilistic description. We consider the consequences of the globality of the P function and of extreme probabilities. We discuss artifacts of representation and how to think about idealization in philosophy. Idealizations are false models, so how can one be better than another, or any of them illuminating?