Bayesian Epistemology - Hardcover
Probability theory is increasingly important to philosophy. Bayesian probabilistic models offer us ways of getting to grips with fundamental problems about information, coherence, reliability, confirmation, and testimony, and thus show how we can justify beliefs and evaluate theories. Bovens and Hartmann provide a systematic guide to the use of probabilistic methods not just in epistemology, but also in philosophy of science, voting theory, jurisprudence, and cognitive psychology.
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About the Author:
Luc Bovens is Professor of Philosophy at the London School of Economics and Political Science.
Stephan Hartmann is Reader in Philosophy and Director of the Centre for Philosophy of Natural and Social Science at the London School of Economics and Political Science.
Luc Bovens is Professor of Philosophy at the London School of Economics and Political Science.
Stephan Hartmann is Reader in Philosophy and Director of the Centre for Philosophy of Natural and Social Science at the London School of Economics and Political Science.
"About this title" may belong to another edition of this title.
- PublisherOxford University Press
- Publication date2004
- ISBN 10 0199269750
- ISBN 13 9780199269754
- BindingHardcover
- Edition number1
- Number of pages176
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Book Description Hardcover. Condition: new. Hardcover. Probabilistic models have much to offer to philosophy. We continually receive information from a variety of sources: from our senses, from witnesses, from scientific instruments. When considering whether we should believe this information, we assess whether the sources are independent, how reliable they are, and how plausible and coherent the information is. Bovens and Hartmann provide a systematic Bayesian account of these features of reasoning. Simple Bayesian networks allow us to model alternative assumptions about the nature of the information sources. Measurement of the coherence of information is a controversial matter: arguably, the more coherent a set of information is, the more confident we may be that its content is true, other things being equal. The authors offer a new treatment of coherence which respects this claim and shows its relevance to scientific theory choice. Bovens and Hartmann apply this methodology to a wide range of much-discussed issues regarding evidence, testimony, scientific theories and voting. "Bayesian Epistemology" is for anyone working on probabilistic methods in philosophy, and has broad implications for many other disciplines. Probabilistic models have much to offer to philosophy. We continually receive information from many sources - our senses, witnesses, scientific instruments - and assess whether to believe it. The authors provide a systematic Bayesian account of these features of reasoning. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9780199269754
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Bayesian Epistemology (Hardcover)
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Book Description Hardcover. Condition: new. Hardcover. Probabilistic models have much to offer to philosophy. We continually receive information from a variety of sources: from our senses, from witnesses, from scientific instruments. When considering whether we should believe this information, we assess whether the sources are independent, how reliable they are, and how plausible and coherent the information is. Bovens and Hartmann provide a systematic Bayesian account of these features of reasoning. Simple Bayesian networks allow us to model alternative assumptions about the nature of the information sources. Measurement of the coherence of information is a controversial matter: arguably, the more coherent a set of information is, the more confident we may be that its content is true, other things being equal. The authors offer a new treatment of coherence which respects this claim and shows its relevance to scientific theory choice. Bovens and Hartmann apply this methodology to a wide range of much-discussed issues regarding evidence, testimony, scientific theories and voting. "Bayesian Epistemology" is for anyone working on probabilistic methods in philosophy, and has broad implications for many other disciplines. Probabilistic models have much to offer to philosophy. We continually receive information from many sources - our senses, witnesses, scientific instruments - and assess whether to believe it. The authors provide a systematic Bayesian account of these features of reasoning. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780199269754
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Book Description Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Probability theory is increasingly important to philosophy. Bayesian probabilistic models offer us ways of getting to grips with fundamental problems about information, coherence, reliability, confirmation, and testimony, and thus show how we can justify beliefs and evaluate theories. Bovens and Hartmann provide a systematic guide to the use of probabilistic methods not just in epistemology, but also in philosophy of science, voting theory, jurisprudence, and cognitive psychology. Seller Inventory # 9780199269754
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