Erkenntnis

, Volume 78, Issue 2, pp 333–351 | Cite as

Generalized Conditionalization and the Sleeping Beauty Problem

Original Article

Abstract

We present a new argument for the claim that in the Sleeping Beauty problem, the probability that the coin comes up heads is 1/3. Our argument depends on a principle for the updating of probabilities that we call ‘generalized conditionalization’, and on a species of generalized conditionalization we call ‘synchronic conditionalization on old information’. We set forth a rationale for the legitimacy of generalized conditionalization, and we explain why our new argument for thirdism is immune to two attacks that Pust (Synthese 160:97–101, 2008) has leveled at other arguments for thirdism.

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Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  1. 1.University of ArizonaTucsonUSA
  2. 2.Oxford UniversityOxford, EnglandUK

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