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date: 19 January 2020

Abstract and Keywords

An agent's self-locating credences capture her opinions about who she is, where she is, and what time it is. Most authors agree that self-locating credences cannot be rationally updated simply by applying traditional Bayesian conditionalization. After explaining why this is, I catalog alternative updating schemes that have been proposed for self-locating credence. I separate those schemes into three broad approaches: ‘shifting schemes’, ‘stable base schemes’, and ‘demonstrative schemes’. Each approach solves particular problems but has its particular blindspots. I then suggest that the Sleeping Beauty Problem has generated so much controversy in the literature because it falls into the blindspots of all three types of updating schemes.

Keywords: self-location, credence, Conditionalization, updating, Sleeping Beauty Problem, de se

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