Show Summary Details

Page of

PRINTED FROM OXFORD HANDBOOKS ONLINE (www.oxfordhandbooks.com). © Oxford University Press, 2018. All Rights Reserved. Under the terms of the licence agreement, an individual user may print out a PDF of a single chapter of a title in Oxford Handbooks Online for personal use (for details see Privacy Policy and Legal Notice).

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

Access to the complete content on Oxford Handbooks Online requires a subscription or purchase. Public users are able to search the site and view the abstracts and keywords for each book and chapter without a subscription.

Please subscribe or login to access full text content.

If you have purchased a print title that contains an access token, please see the token for information about how to register your code.

For questions on access or troubleshooting, please check our FAQs, and if you can''t find the answer there, please contact us.