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.
€42.95
购买此电子书可免费获赠一本！
语言 英语 ● 格式 PDF ● ISBN 9780191533525 ● 出版者 OUP Oxford ● 发布时间 2004 ● 下载 6 时 ● 货币 EUR ● ID 2273419 ● 复制保护 Adobe DRM
需要具备DRM功能的电子书阅读器
来自同一作者的更多电子书 / 编辑
48,842 此类电子书
