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A Pragmatic Modification of Explicativity for the Acceptance of Hypotheses

Published online by Cambridge University Press:  01 April 2022

I. J. Good
Affiliation:
Department of Statistics, Department of Philosophy, Virginia Polytechnic Institute and State University
Alan F. McMichael
Affiliation:
Department of Statistics, Department of Philosophy, Virginia Polytechnic Institute and State University

Abstract

The use of a concept called “explicativity”, for (provisionally) accepting a theory or Hypothesis H, has previously been discussed. That previous discussion took into account the prior probability of H, and hence implicitly its theoretical simplicity. We here suggest that a modification of explicativity is required to allow for what may be called the pragmatic simplicity of H, that is, the simplicity of using H in applications as distinct from the simplicity of the description of H.

Type
Research Article
Copyright
Copyright © Philosophy of Science Association 1984

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Footnotes

This work was supported in part by Grant R01-GM 18870 from the U.S. Dept. of Health and Human Services, National Institutes of Health, and administered by Virginia Polytechnic Institute and State University.

References

Fine, T. L. (1973), Theories of Probability. New York and London: Academic Press.Google Scholar
Good, I. J. (1950), Probability and the Weighing of Evidence. London: Charles Griffin; New York: Hafners.Google Scholar
Good, I. J. (1959), “Kinds of probability”, Science 129: 443447. (Italian translation by Fulvia de Finetti in L'Industria, 1959.) Reprinted in Readings in Applied Statistics, (1969) William S. Peters (ed.). Englewood Cliffs: Prentice Hall, pp. 28–37.CrossRefGoogle Scholar
Good, I. J. (1965), “Speculations concerning the first ultraintelligent machine”, Advances in Computers 6: 3188.CrossRefGoogle Scholar
Good, I. J. (1966), “How to estimate probabilities”, Journal of the Institute of Mathematics and its Applications 2: 364383.CrossRefGoogle Scholar
Good, I. J. (1968), “Corroboration, explanation, evolving probability, simplicity, and a sharpened razor”, British Journal of the Philosophy of Science 19: 123143.CrossRefGoogle Scholar
Good, I. J. (1975), “Explicativity, corroboration, and the relative odds of hypotheses”, in a conference in the Dept. of Philosophy, University of South Carolina, “Methodologies: Bayesian & Popperian”, Nov. 1973. Printed in Synthese 30: 3973.CrossRefGoogle Scholar
Good, I. J. (1977), “Explicativity: a mathematical theory of explanation with statistical applications”, Proceedings of the Royal Society (London) A 354: 303330.Google Scholar
Good, I. J. (1983a), “The Philosophy of Exploratory Data Analysis”, Philosophy of Science 50: 283295.CrossRefGoogle Scholar
Good, I. J. (1983b). Good Thinking: the Foundations of Probability and its Applications. Minneapolis: University of Minnesota Press.Google Scholar
Kemble, E. C. (1942), “Is the frequency theory of probability adequate for all scientific purposes?American Journal of Physics 10: 616.CrossRefGoogle Scholar
Keynes, J. M. (1921), A Treatise on Probability. London: Macmillan.Google Scholar
Koopman, B. O. (1940), “The bases of probability”, Bulletin of the American Mathematical Society 46: 763774.CrossRefGoogle Scholar
Pauling, Linus (1960), The Nature of the Chemical Bond. 3rd edn. Ithaca, New York: Cornell University Press; London: Oxford University Press.Google Scholar