Philosophy of Science 69 (S3):S197-S208 (2002)

Authors
Michael Bishop
Florida State University
Abstract
Our aim in this paper is to bring the woefully neglected literature on predictive modeling to bear on some central questions in the philosophy of science. The lesson of this literature is straightforward: For a very wide range of prediction problems, statistical prediction rules (SPRs), often rules that are very easy to implement, make predictions than are as reliable as, and typically more reliable than, human experts. We will argue that the success of SPRs forces us to reconsider our views about what is involved in understanding, explanation, good reasoning, and about how we ought to do philosophy of science
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DOI 10.1086/341846
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References found in this work BETA

Explanation and Scientific Understanding.Michael Friedman - 1974 - Journal of Philosophy 71 (1):5-19.
The Nature of Explanation.Peter Achinstein - 1983 - Oxford University Press.
Scientific Explanation and the Sense of Understanding.J. D. Trout - 2002 - Philosophy of Science 69 (2):212-233.
Linear Models in Decision Making.Robyn M. Dawes & Bernard Corrigan - 1974 - Psychological Bulletin 81 (2):95-106.

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Citations of this work BETA

The Threat of Algocracy: Reality, Resistance and Accommodation.John Danaher - 2016 - Philosophy and Technology 29 (3):245-268.
The Psychology of Scientific Explanation.J. D. Trout - 2007 - Philosophy Compass 2 (3):564–591.
Epistemic Trust, Epistemic Responsibility, and Medical Practice.A. P. Schwab - 2008 - Journal of Medicine and Philosophy 33 (4):302-320.
The Legacy of Methodological Dualism.Kent Johnson - 2007 - Mind and Language 22 (4):366–401.

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