Michael G. Titelbaum presents a new Bayesian framework for modeling rational degrees of belief.
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Michael G. Titelbaum grew up in the San Francisco Bay Area. He completed a BA in philosophy at Harvard College, a PhD in philosophy at the University of California, Berkeley, and a postdoc at the Australian National University. He is an Assistant Professor of philosophy at the University of Wisconsin-Madison.
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Anbieter: Asano Bookshop, Nagoya, AICHI, Japan
Zustand: Brand New. Michael G. Titelbaum presents a new Bayesian framework for modeling rational degrees of belief-the first of its kind to represent rational requirements on agents who undergo certainty loss. He compares the framework to alternative solutions, and applies it to cases in epistemology, decision theory, the theory of identity, and quantum mechanics. Bestandsnummer des Verkäufers a26807
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Zustand: Good. Book is in Used-Good condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain limited notes and highlighting. Bestandsnummer des Verkäufers 0199658307-2-4
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Anbieter: Brook Bookstore On Demand, Napoli, NA, Italien
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Anbieter: Phatpocket Limited, Waltham Abbey, HERTS, Vereinigtes Königreich
Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions. Bestandsnummer des Verkäufers Z1-J-003-02136
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Anbieter: Deeside Books, Ballater, Vereinigtes Königreich
Hardcover. Zustand: Fine. 1st Edition. Hardback in black cloth boards, in Fine condition. Dust wrapper also in Fine condition. First edition, pp345, tables. Michael G. Titelbaum presents a new Bayesian framework for modeling rational degrees of belief, called the Certainty-Loss Framework. Subjective Bayesianism is epistemologists' standard theory of how individuals should change their degrees of belief over time. But despite the theory's power, it is widely recognized to fail for situations agents face every day--cases in which agents forget information, or in which they assign degrees of belief to self-locating claims. Quitting Certainties argues that these failures stem from a common source: the inability of Conditionalization (Bayesianism's traditional updating rule) to model claims' going from certainty at an earlier time to less-than-certainty later on. It then presents a new Bayesian updating framework that accurately represents rational requirements on agents who undergo certainty loss. Titelbaum develops this new framework from the ground up, assuming little technical background on the part of his reader. He interprets Bayesian theories as formal models of rational requirements, leading him to discuss both the elements that go into a formal model and the general principles that link formal systems to norms. By reinterpreting Bayesian methodology and altering the theory's updating rules, Titelbaum is able to respond to a host of challenges to Bayesianism both old and new. These responses lead in turn to deeper questions about commitment, consistency, and the nature of information. Quitting Certainties presents the first systematic, comprehensive Bayesian framework unifying the treatment of memory loss and context-sensitivity. It develops this framework, motivates it, compares it to alternatives, then applies it to cases in epistemology, decision theory, the theory of identity, and the philosophy of quantum mechanics. Bestandsnummer des Verkäufers 013640
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Hardback. Zustand: New. New copy - Usually dispatched within 4 working days. Bestandsnummer des Verkäufers B9780199658305
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