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Chance and the dynamics of de se beliefs
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Title
Chance and the dynamics of de se beliefs
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Meacham
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Christopher G. J.
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Christopher G.J. Meacham
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Arntzenius
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Frank
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Frank Arntzenius
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chair
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John
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John Hawthorne
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Maudlin
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Tim
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Tim Maudlin
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Barry Loewer
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internal member
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Advisory Committee
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Rutgers University
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Graduate School - New Brunswick
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theses
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2007
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2007-10
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English
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electronic
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xii, 247 pages
Abstract
How should our beliefs change over time? The standard answer to this question is the Bayesian one. But while the Bayesian account works well with respect to beliefs about the world, it breaks down when applied to self-locating or de se beliefs. In this work I explore ways to extend Bayesianism in order to accommodate de se beliefs. I begin by assessing, and ultimately rejecting, attempts to resolve these issues by appealing to Dutch books and chance-credence principles. I then propose and examine several accounts of the dynamics of de se beliefs. These examinations suggest that an extension of Bayesianism to de se beliefs will require some uncomfortable choices. I conclude by laying out the options available, and assessing the prospects of each.
Note
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Ph.D.
Note
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Includes bibliographical references (p. 243-246).
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Philosophy
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Philosophy of mind
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Reasoning
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Graduate School - New Brunswick Electronic Theses and Dissertations
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rucore19991600001
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http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17111
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ETD_373
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doi:10.7282/T30Z73N5
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ETD doctoral
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Rights
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The author owns the copyright to this work.
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Copyright protected
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Open
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Christopher Meacham
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Rutgers University. Graduate School - New Brunswick
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Non-exclusive ETD license
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Author Agreement License
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I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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Statistical Profile