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Bayesian Epistemology

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Luc Bovens 作者
Oxford University Press
译者
2004-3-11 出版日期
176 页数
USD 115.00 价格
Hardcover
丛书系列
9780199269754 图书编码

Bayesian Epistemology 在线电子书 图书标签: 认识论  科学哲学  概率哲学  哲学  分析哲学  逻辑&数学  统计哲学  Bayesian   


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Bayesian Epistemology 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Bayesian Epistemology 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Bayesian Epistemology 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



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two key factors: the reliability of source of information & the coherence of evidence. two applications: jury voting in social choice theory & the Linda puzzle in cognitive psychology. two relevant theses in confirmation theory: the variety-of-evidence thesis & the Duhem–Quine thesis. another twist: ‘too-odd-not-to-be-true’ reasoning.

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two key factors: the reliability of source of information & the coherence of evidence. two applications: jury voting in social choice theory & the Linda puzzle in cognitive psychology. two relevant theses in confirmation theory: the variety-of-evidence thesis & the Duhem–Quine thesis. another twist: ‘too-odd-not-to-be-true’ reasoning.

评分

two key factors: the reliability of source of information & the coherence of evidence. two applications: jury voting in social choice theory & the Linda puzzle in cognitive psychology. two relevant theses in confirmation theory: the variety-of-evidence thesis & the Duhem–Quine thesis. another twist: ‘too-odd-not-to-be-true’ reasoning.

评分

two key factors: the reliability of source of information & the coherence of evidence. two applications: jury voting in social choice theory & the Linda puzzle in cognitive psychology. two relevant theses in confirmation theory: the variety-of-evidence thesis & the Duhem–Quine thesis. another twist: ‘too-odd-not-to-be-true’ reasoning.

评分

two key factors: the reliability of source of information & the coherence of evidence. two applications: jury voting in social choice theory & the Linda puzzle in cognitive psychology. two relevant theses in confirmation theory: the variety-of-evidence thesis & the Duhem–Quine thesis. another twist: ‘too-odd-not-to-be-true’ reasoning.

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Bayesian Epistemology 在线电子书 图书描述

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.

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