David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
Learn more about PhilPapers
The goal of a partial belief is to be accurate, or close to the truth. By appealing to this norm, I seek norms for partial beliefs in self-locating and non-self-locating propositions. My aim is to find norms that are analogous to the Bayesian norms, which, I argue, only apply unproblematically to partial beliefs in non-self-locating propositions. I argue that the goal of a set of partial beliefs is to minimize the expected inaccuracy of those beliefs. However, in the self-locating framework, there are two equally legitimate definitions of expected inaccuracy. And, while each gives rise to the same synchronic norm for partial beliefs, they give rise to different, inconsistent diachronic norms. I conclude that both norms are rationally permissible. En passant, I note that this entails that both Halfer and Thirder solutions to the well-known Sleeping Beauty puzzle are rationally permissible.
|Keywords||Sleeping Beauty self-locating beliefs inaccuracy expected value|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library||
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
James R. Shaw (2013). De Se Belief and Rational Choice. Synthese 190 (3):491-508.
Jacob Ross (2010). Sleeping Beauty, Countable Additivity, and Rational Dilemmas. Philosophical Review 119 (4):411 - 447.
Hannes Leitgeb & Richard Pettigrew (2010). An Objective Justification of Bayesianism II: The Consequences of Minimizing Inaccuracy. Philosophy of Science 77 (2):236-272.
Hannes Leitgeb & Richard Pettigrew (2010). An Objective Justification of Bayesianism I: Measuring Inaccuracy. Philosophy of Science 77 (2):201-235.
Christopher J. G. Meacham (2010). Unravelling the Tangled Web: Continuity, Internalism, Non-Uniqueness and Self-Locating Beliefs. In Tamar Szabo Gendler & John Hawthorne (eds.), Oxford Studies in Epistemology, Volume 3. Oxford University Press 86.
Darren Bradley (2007). Bayesianism And Self-Locating Beliefs. Dissertation, Stanford University
Darren Bradley (2011). Self-Location is No Problem for Conditionalization. Synthese 182 (3):393-411.
Brian Kierland & Bradley Monton (2005). Minimizing Inaccuracy for Self-Locating Beliefs. Philosophy and Phenomenological Research 70 (2):384-395.
Added to index2009-08-11
Total downloads158 ( #21,455 of 1,790,544 )
Recent downloads (6 months)1 ( #433,815 of 1,790,544 )
How can I increase my downloads?