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Accommodation, Prediction and Bayesian Confirmation Theory

Published online by Cambridge University Press:  28 February 2022

Colin Howson*
Affiliation:
London School of Economics

Extract

‘A hypothesis can only be received upon the ground of its having been verified by successful prediction’, C.S. Peirce, Collected Papers, Vol. II, p.466.

Hempel, in his classic [1966], raised a problem which already had a long pedigree. Balmer, having examined measurements of the wavelengths of lines in the emission spectrum of hydrogen, constructed a now well-known formula for generating these, and also other lines at that time unknown to him. Hempel asked whether Balmer's formula would have been as strongly confirmed by the new lines had they too formed part of Balmer's database. Hempel's question poses the famous and ancient accommodation-versus-prediction problem: is a hypothesis h, designed among other things to account for data e, confirmed by e as much as h would have been, had it been found to explain e without, however, having been constructed to do so? An unconditionally negative answer has been given by a numerous and influential body of scientists and philosophers; this unconditional view of the matter I shall call predictionism.

Type
Part XII. Confirmation
Copyright
Copyright © 1989 by the Philosophy of Science Association

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Footnotes

1

I should like to thank Peter Urbach and Don Zilversmit for reading this paper and for their very helpful suggestions for improvement.

References

Fisher, R.A. (1935). The Design of Experiments, 4th edition, Edinburgh: Oliver and Boyd.Google Scholar
Franklin, A. and Howson, C. (1985). “Newton and Kepler, A Bayesian Approach”, Studies in History and Philosophy of Science, vol. 16: 379385.CrossRefGoogle Scholar
Gillies, D.A. (1989). “NonBayesian Confirmation Theory and the Principle of Explanatory Surplus”, PSA 1988, vol. 2: pp. 373380. East Lansing, MI: Philosophy of Science Association.Google Scholar
Glymour, C. (1980). Theory and Evidence, Princeton: Princeton University Press.Google Scholar
Hempel, C.G. (1966). Philosophy of Natural Science, Englewood Cliffs: Prentice-Hall.Google Scholar
Howson, C. (1985). “Bayesianism and Support by Novel Facts”, British Journal for the Philosophy of Science, vol. 35: 245251.CrossRefGoogle Scholar
Howson, C. and Franklin, A. (1989). “Maher, Mendeleev and Bayesianism”, forthcoming.Google Scholar
Howson, C. and Urbach, P.M. (1989). Scientific Reasoning: the Bayesian Approach, La Salle: Open Court.Google Scholar
Jeffreys, H. (1961). Theory of Probability, Cambridge: Cambridge University Press (third edition).Google Scholar
Keynes, J.M. (1921). Treatise on Probability, London: Macmillan (1973 edition).Google Scholar
Maher, P. (1988). “Prediction, Accommodation and the Logic of Discovery”, PSA 1988, vol.1.Google Scholar
Maher, P. (1989). “How Prediction enhances Confirmation”, Festschrift for Nuel Belnap, forthcoming.CrossRefGoogle Scholar
Nickles, T. (1985). “Beyond Divorce: Current Status of the Discovery Debate”, Philosophy of Science, vol. 52: 117207.CrossRefGoogle Scholar
Nickles, T. (1989). “Truth or Consequences? Generative Versus Consequential Justification in Science.PSA 1988 vol. 2: pp. 393405. East Lansing, MI: Philosophy of Science Association.Google Scholar
Peirce, C.S. (1932). Collected Papers, volume II, Cambridge: Harvard University Press.Google Scholar
Redhead, M.L.G. (1986). “Novelty and Confirmation”, British Journal for the Philosophy of Science, vol.37: 115118.CrossRefGoogle Scholar
Simon, H.A. (1955). “Prediction and hindsight as confirmatory evidence”, Philosophy of Science, vol.22: 227230.CrossRefGoogle Scholar
Worrall, J. (1978). “The Ways in which the Methodology of Scientific Research Programmes improve on Popper's Methodology”, in Radnitzky, G. and Anderson, G. (eds.) Progress and Rationality in Science, Dordrecht: Reidel.Google Scholar
Zahar, E.G. (1983). “Logic of Discovery or Psychology of Invention”, British Journal for the Philosophy of Science, 34: 243261.CrossRefGoogle Scholar