Abstract
This chapter surveys Patrick Suppes’ work on probability, utility, inference, causality and decision theory. Much of this work has been handily collected in [1], Part II, and wherever possible, I shall confine my references to that one source. The topics in question are closely intertwined, both with each other and with Suppes’ interests in measurement and learning theory. Where connections with those other topics might otherwise go unremarked, I shall not hesitate to point them out. Underlying all of Suppes’ work in this area is a concern to frame a realistic theory of rational decision and information processing, a theory sufficiently detailed ‘to generate the drawings for a machine… that can form concepts and make inductions’ ([1], p. 86).
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References
P. Suppes (1969), Studies in the Methodology and Foundations of Science, D. Reidel, Dordrecht.
D. Davidson, P. Suppes and S. Siegel (1957), Decision Making: an Experimental Approach, Stanford University Press, Stanford, California.
F. P. Ramsey (1931), The Foundations of Mathematics and Other Logical Essays, Harcourt-Brace, New York.
D. H. Krantz, R. D. Luce, P. Suppes, and A. Tversky (1971), Foundations of Measurement (vol. 1), Academic Press, New York.
T. Fine (1973), Theories of Probability, Academic Press, New York.
P. Suppes and M. Zanotti (1976), ‘Necessary conditions for existence of a unique measure strictly agreeing with a qualitative probability ordering’, J. Phil. Logic, 5, 431–438.
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P. Suppes (1970), A Probabilistic Theory of Causality, North-Holland, Amsterdam.
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© 1979 D. Reidel Publishing Company, Dordrecht, Holland
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Rosenkrantz, R.D. (1979). Suppes on Probability, Utility, and Decision Theory. In: Bogdan, R.J. (eds) Patrick Suppes. Profiles, vol 1. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-9397-6_4
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DOI: https://doi.org/10.1007/978-94-009-9397-6_4
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