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How Bayesianism Adresses the Problem(s) of Induction
MCMP
English - June 10, 2016 06:29 - 18 minutes - 287 MB Video - ★★★★★ - 2 ratingsPhilosophy Society & Culture philosophy logic science language mathematics hannes leitgeb stephan hartmann mcmp lmu Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Chloé de Canson (University of Cambridge) gives a talk at the Workshop on Five Years MCMP: Quo Vadis, Mathematical Philosophy? (2-4 June, 2016) titled "How Bayesianism Addresses the Problem(s) of Induction". Abstract: The paper seeks to argue that Bayesian Confirmation Theory is the right kind of theory to account for confirmation. More precisely, a thorough (non-Bayesian) analysis of the paradox of the raven is used to show that (i) propositions play the role of evidence; (ii) there are two relations involved in confirmation, a logical one whose relata are propositions, and an epistemic one whose antecedent is a learning event; (iii) background knowledge is highly relevant; (iv) the logical relation is non-monotonic. The paper then shows that, unlike the hypothetico-deductive method and broadly Carnapian approaches, Bayesian Confirmation Theory satisfies all these criteria, and concludes that it is the right sort of theory to account for confirmation.