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  1. A devastating example for the Halfer Rule.Vincent Conitzer - 2015 - Philosophical Studies 172 (8):1985-1992.
    How should we update de dicto beliefs in the face of de se evidence? The Sleeping Beauty problem divides philosophers into two camps, halfers and thirders. But there is some disagreement among halfers about how their position should generalize to other examples. A full generalization is not always given; one notable exception is the Halfer Rule, under which the agent updates her uncentered beliefs based on only the uncentered part of her evidence. In this brief article, I provide a simple (...)
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  • Credence in the Image of Chance.Michael Caie - 2015 - Philosophy of Science 82 (4):626-648.
    In this article, I consider what sorts of chance credence norms can be justified by appeal to the idea that ideal credences should line up with the chances. I argue that the Principal Principle cannot be so justified but that an alternative norm, the Temporal Principle—which maintains that an agent’s credence in a proposition ϕ, conditional on the temporal proposition that says that the chance of ϕ is x, should be x—can be so justified.
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  • Imprecise Probabilities.Seamus Bradley - 2019 - In Claus Beisbart & Nicole J. Saam (eds.), Computer Simulation Validation: Fundamental Concepts, Methodological Frameworks, and Philosophical Perspectives. Springer Verlag. pp. 525-540.
    This chapter explores the topic of imprecise probabilities as it relates to model validation. IP is a family of formal methods that aim to provide a better representationRepresentation of severe uncertainty than is possible with standard probabilistic methods. Among the methods discussed here are using sets of probabilities to represent uncertainty, and using functions that do not satisfy the additvity property. We discuss the basics of IP, some examples of IP in computer simulation contexts, possible interpretations of the IP framework (...)
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  • On the Plurality of Worlds.David Lewis - 1986 - Revue Philosophique de la France Et de l'Etranger 178 (3):388-390.
     
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  • Ten Reasons to Care About the Sleeping Beauty Problem.Michael G. Titelbaum - 2013 - Philosophy Compass 8 (11):1003-1017.
    The Sleeping Beauty Problem attracts so much attention because it connects to a wide variety of unresolved issues in formal epistemology, decision theory, and the philosophy of science. The problem raises unanswered questions concerning relative frequencies, objective chances, the relation between self-locating and non-self-locating information, the relation between self-location and updating, Dutch Books, accuracy arguments, memory loss, indifference principles, the existence of multiple universes, and many-worlds interpretations of quantum mechanics. After stating the problem, this article surveys its connections to all (...)
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  • Relativity and the Moving Spotlight.Bradford Skow - 2009 - Journal of Philosophy 106 (12):666-678.
  • Accuracy, Chance, and the Principal Principle.Richard Pettigrew - 2012 - Philosophical Review 121 (2):241-275.
    In ‘A Non-Pragmatic Vindication of Probabilism’, Jim Joyce attempts to ‘depragmatize’ de Finetti’s prevision argument for the claim that our partial beliefs ought to satisfy the axioms of probability calculus. In this paper, I adapt Joyce’s argument to give a non-pragmatic vindication of various versions of David Lewis’ Principal Principle, such as the version based on Isaac Levi's account of admissibility, Michael Thau and Ned Hall's New Principle, and Jenann Ismael's Generalized Principal Principle. Joyce enumerates properties that must be had (...)
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  • Subjectivism and the Mental.Giovanni Merlo - 2016 - Dialectica 70 (3):311-342.
    This paper defends the view that one's own mental states are metaphysically privileged vis-à-vis the mental states of others, even if only subjectively so. This is an instance of a more general view called Subjectivism, according to which reality is only subjectively the way it is. After characterizing Subjectivism in analogy to two relatively familiar views in the metaphysics of modality and time, I compare the Subjectivist View of the Mental with Egocentric Presentism, a version of Subjectivism recently advocated by (...)
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  • Sleeping beauty: Reply to Elga.David Lewis - 2001 - Analysis 61 (3):171–76.
  • Humean Supervenience Debugged.David Lewis - 1994 - Mind 103 (412):473--490.
    Tn this paper I explore and to an extent defend HS. The main philosophical challenges to HS come from philosophical views that say that nomic concepts-laws, chance, and causation-denote features of the world that fail to supervene on non-nomic features. Lewis rejects these views and has labored mightily to construct HS accounts of nomic concepts. His account of laws is fundamental to his program, since his accounts of the other nomic notions rely on it. Recently, a number of philosophers have (...)
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  • Sleeping Beauty and shifted Jeffrey conditionalization.Namjoong Kim - 2009 - Synthese 168 (2):295-312.
    In this paper, I argue for a view largely favorable to the Thirder view: when Sleeping Beauty wakes up on Monday, her credence in the coin’s landing heads is less than 1/2. Let’s call this “the Lesser view.” For my argument, I (i) criticize Strict Conditionalization as the rule for changing de se credences; (ii) develop a new rule; and (iii) defend it by Gaifman’s Expert Principle. Finally, I defend the Lesser view by making use of this new rule.
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  • Self-Bias, Time-Bias, and the Metaphysics of Self and Time.Caspar Hare - 2007 - Journal of Philosophy 104 (7):350-373.
    This is about the metaphysics of the self and ethical egoism. It can serve as a preview for my manuscript-in-progress below.
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  • Correcting the guide to objective chance.Ned Hall - 1994 - Mind 103 (412):505-518.
  • 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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