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Books > Science & Mathematics > Science: general issues > Philosophy of science
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Bayesian Epistemology (Hardcover)
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Bayesian Epistemology (Hardcover)
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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 for anyone working
on probabilistic methods in philosophy, and has broad implications
for many other disciplines.
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