Accuracy-first epistemology without Additivity

Research output: Contribution to journalArticle (Academic Journal)peer-review

Abstract

Accuracy arguments for the core tenets of Bayesian epistemology differ mainly in the conditions they place on the legitimate ways of measuring the inaccuracy of our credences. The best existing arguments rely on three conditions: Continuity, Additivity, and Strict Propriety. In this paper, I show how to strengthen the arguments based on these conditions by showing that the central mathematical theorem on which each depends goes through without assuming Additivity.
Original languageEnglish
JournalPhilosophy of Science
Publication statusAccepted/In press - 1 Feb 2021

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