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Stochastic Learning Theories for a Response Continuum with Non-Determinate Reinforcement

Published online by Cambridge University Press:  01 January 2025

Patrick Suppes
Affiliation:
Stanford University
Joseph L. Zinnes
Affiliation:
Indiana University

Abstract

Continuous analogues of the finite linear and stimulus sampling theories are developed for non-determinate reinforcement schedules. Closed-form expressions are derived for the asymptotic response distribution and certain sequential statistics. Computations for a target experiment are given to illustrate the character of the theoretical results.

Type
Original Paper
Copyright
Copyright © 1961 The Psychometric Society

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Footnotes

*

This research was supported by the Rockefeller Foundation and the Group Psychology Branch of the Office of Naval Research.

References

Suppes, P. A linear learning model for a continuum of responses. In Bush, R. R. and Estes, W. K. (Eds.), Studies in mathematical learning theory. Stanford: Stanford Univ. Press, 1959, 400414.Google Scholar
Suppes, P. Stimulus sampling theory for a continuum of responses In Arrow, K. J., Karlin, S., and Suppes, P. (Eds.), Mathematical methods in the social sciences. Stanford: Stanford Univ. Press, 1960, 348365.Google Scholar
Suppes, P. and Frankmann, R. W. Test of stimulus sampling theory for a continuum of responses with unimodal noncontingent determinate reinforcement. J. exp. Psychol., 1961, 60, 122132.CrossRefGoogle Scholar