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Bayesian Networks and the Problem of Unreliable Instruments

Bovens, Luc and Hartmann, Stephan (2000) Bayesian Networks and the Problem of Unreliable Instruments. [Preprint]

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    Abstract

    We appeal to the theory of Bayesian Networks to model different strategies for obtaining confirmation for a hypothesis from experimental test results provided by less than fully reliable instruments. In particular, we consider (i) repeated measurements of a single testable consequence of the hypothesis, (ii) measurements of multiple testable consequences of the hypothesis, (iii) theoretical support for the reliability of the instrument, and (iv) calibration procedures. We evaluate these strategies on their relative merits under idealized conditions and show some surprising repercussions on the variety-of-evidence thesis and the Duhem-Quine thesis.


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    Item Type: Preprint
    Keywords: Confirmation theory, Bayesian Networks, Duhem-Quine thesis,variety-of-evidence thesis
    Subjects: General Issues > Confirmation/Induction
    Depositing User: Stephan Hartmann
    Date Deposited: 30 Jan 2001
    Last Modified: 07 Oct 2010 11:10
    Item ID: 95
    URI: http://philsci-archive.pitt.edu/id/eprint/95

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