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Ross on sleeping beauty

Philosophical Studies 163 (2):503-512 (2013)

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  1. The relevance of self-locating beliefs.Michael G. Titelbaum - 2008 - Philosophical Review 117 (4):555-606.
    Can self-locating beliefs be relevant to non-self-locating claims? Traditional Bayesian modeling techniques have trouble answering this question because their updating rule fails when applied to situations involving contextsensitivity. This essay develops a fully general framework for modeling stories involving context-sensitive claims. The key innovations are a revised conditionalization rule and a principle relating models of the same story with different modeling languages. The essay then applies the modeling framework to the Sleeping Beauty Problem, showing that when Beauty awakens her degree (...)
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  • Sleeping beauty: A simple solution.Ruth Weintraub - 2004 - Analysis 64 (1):8–10.
    I defend the suggestion that the rational probability in the Sleeping Beauty paradox is one third. The reasoning in its favour is familiar: for every heads-waking, there are two tails-wakings. To complete the defense, I rebut the reasoning which purports to justify the competing suggestion – that the correct probability is half – by undermining its premise, that no new information has been received.
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  • Sleeping Beauty: a simple solution.R. Weintraub - 2004 - Analysis 64 (1):8-10.
    I defend the suggestion that the rational probability in the Sleeping Beauty paradox is one third. The reasoning in its favour is familiar: for every heads-waking, there are two tails-wakings. To complete the defense, I rebut the reasoning which purports to justify the competing suggestion – that the correct probability is half – by undermining its premise, that no new information has been received.
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  • Stalnaker on sleeping beauty.Brian Weatherson - 2011 - Philosophical Studies 155 (3):445-456.
    The Sleeping Beauty puzzle provides a nice illustration of the approach to self-locating belief defended by Robert Stalnaker in Our Knowledge of the Internal World (Stalnaker, 2008), as well as a test of the utility of that method. The setup of the Sleeping Beauty puzzle is by now fairly familiar. On Sunday Sleeping Beauty is told the rules of the game, and a (known to be) fair coin is flipped. On Monday, Sleeping Beauty is woken, and then put back to (...)
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  • Sleeping Beauty, Countable Additivity, and Rational Dilemmas.Jacob Ross - 2010 - Philosophical Review 119 (4):411-447.
    Currently, the most popular views about how to update de se or self-locating beliefs entail the one-third solution to the Sleeping Beauty problem.2 Another widely held view is that an agent‘s credences should be countably additive.3 In what follows, I will argue that there is a deep tension between these two positions. For the assumptions that underlie the one-third solution to the Sleeping Beauty problem entail a more general principle, which I call the Generalized Thirder Principle, and there are situations (...)
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  • All roads lead to violations of countable additivity.Jacob Ross - 2012 - Philosophical Studies 161 (3):381-390.
    This paper defends the claim that there is a deep tension between the principle of countable additivity and the one-third solution to the Sleeping Beauty problem. The claim that such a tension exists has recently been challenged by Brian Weatherson, who has attempted to provide a countable additivity-friendly argument for the one-third solution. This attempt is shown to be unsuccessful. And it is argued that the failure of this attempt sheds light on the status of the principle of indifference that (...)
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  • Self-locating belief and the sleeping beauty problem.Adam Elga - 2000 - Analysis 60 (2):143–147.
    In addition to being uncertain about what the world is like, one can also be uncertain about one’s own spatial or temporal location in the world. My aim is to pose a problem arising from the interaction between these two sorts of uncertainty, solve the problem, and draw two lessons from the solution.
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  • Our Knowledge of the Internal World.Robert Stalnaker - 2008 - Oxford, GB: Oxford University Press.
    Robert Stalnaker opposes the traditional view that knowledge of one's own current thoughts and feelings is the unproblematic foundation for all knowledge. He argues that we can understand our knowledge of our thoughts and feelings only by viewing ourselves from the outside, by seeing our inner lives as features of the world as it is in itself.
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  • Oxford Studies in Epistemology.Joseph Halpern - 2004 - Oxford University Press.
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  • The Philosophy of Philosophy.Timothy Williamson - 2007 - Malden, MA: Wiley-Blackwell.
    The second volume in the _Blackwell Brown Lectures in Philosophy_, this volume offers an original and provocative take on the nature and methodology of philosophy. Based on public lectures at Brown University, given by the pre-eminent philosopher, Timothy Williamson Rejects the ideology of the 'linguistic turn', the most distinctive trend of 20th century philosophy Explains the method of philosophy as a development from non-philosophical ways of thinking Suggests new ways of understanding what contemporary and past philosophers are doing.
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  • Our knowledge of the internal world.Robert Stalnaker - 2008 - New York: Oxford University Press.
    Starting in the middle -- Epistemic possibilities and the knowledge argument -- Locating ourselves in the world -- Notes on models of self-locating belief -- Phenomenal and epistemic indistinguishability -- Acquaintance and essence -- Knowing what one is thinking -- After the fall.
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  • Acquiantanceless De Re Belief'.Robin Jeshion - 2002 - In Joseph Keim Campbell, Michael O.’Rourke & David Shier (eds.), Meaning and Truth: Investigations in Philosophical Semantics. Seven Bridges Press. pp. 53-74.
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  • Sleeping Beauty Reconsidered: Conditioning and Reflection in Asynchronous Systems.Joseph Halpern - 2006 - Oxford Studies in Epistemology 1.
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  • Sleeping Beauty Reconsidered: Conditioning and Reflection in Asynchronous Systems.Joseph Halpern - 2004 - In Tamar Szabo Gendler & John Hawthorne (eds.), Proceedings of the Twentieth Conference on Uncertainty in Ai. Oxford University Press. pp. 111-142.
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