This book is available in Oxford Scholarship Online
| Description | | - A state-of-the-art guide to formal epistemology
- Probability is a hot topic in philosophy
- Written for non-specialists, including advanced students
- Original, lively, clear, and up-to-date
- Truly interdisciplinary - relevant to philosophy, cognitive science, economics, and jurisprudence
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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 an essential tool for anyone working on probabilistic methods in philosophy, and has broad implications for many
other disciplines.
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Readership: Scholars and students of formal epistemology, philosophy of science, and logic; anyone working with Bayesian methods in cognitive science, economic theory, and jurisprudence.
| Contents |
Introduction
1.
Information
2.
Coherence
3.
Reliability
4.
Confirmation
5.
Testimony
Epilogue
Appendix
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| Authors, editors,
and contributors |
Luc Bovens, Professor of Philosophy, London School of Economics and Political Science and
Stephan Hartmann, Reader in Philosophy and Director of the Centre for Philosophy of Natural and Social Science, London School of Economics and Political Science
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