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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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.
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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