Bayesian epistemology

Bayesian epistemology / Luc Bovens and Stephan Hartmann.

Probabilistic models have much to offer to philosophy. We continually receive information from many sources - our senses, witnesses, scientific instruments - and assess whether to believe it. The authors provide a systematic Bayesian account of these features of reasoning.

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Bibliographic Details
Main Author: Bovens, Luc
Corporate Author: Oxford University Press
Other Authors: Hartmann, Stephan, 1968-
Format: eBook
Language:English
Published: Oxford : Clarendon Press, 2003.
Subjects:
Knowledge, Theory of.
Reasoning > Mathematical models.
Bayesian statistical decision theory.
epistemology.
PHILOSOPHY > Epistemology.
Bayesian statistical decision theory
Knowledge, Theory of
Reasoning > Mathematical models
Methode van Bayes.
Online Access:Click for online access
Table of Contents:
  • Information. C.I. Lewis's heritage ; Bayesian coherentism ; Modelling information gathering ; An impossibility result ; Weak Bayesian coherentism
  • Coherence. Unequal priors ; Constructing a measure ; A corpse in Tokyo, Bonjour's ravens and Tweety ; Equal reliability ; Indeterminacy ; Alternative proposals ; Theory choice in science
  • Reliability. Reliability defined endogenously ; One witness report ; Multiple witness reports ; An upper limit for reliability? ; Bayesian networks ; Jury voting ; Tversky and Kahneman's Linda
  • Confirmation. Hypothesis testing ; Same test results ; Coherent test results ; The variety-of-evidence thesis ; Auxiliary theories
  • Testimony. The value of surprising information ; Testimonies from independent witnesses ; Lower priors, higher posteriors? ; Generalizing to many witnesses ; Shopping for consumer products.

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