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Stimulus and Response Generalization: A Stochastic Model Relating Generalization to Distance in Psychological Space

Published online by Cambridge University Press:  01 January 2025

Roger N. Shepard*
Affiliation:
Naval Research Laboratory

Abstract

A mathematical model is developed in an attempt to relate errors in multiple stimulus-response situations to psychological inter-stimulus and inter response distances. The fundamental assumptions are (a) that the stimulus and response confusions go on independently of each other, (b) that the probability of a stimulus confusion is an exponential decay function of the psychological distance between the stimuli, and (c) that the probability of a response confusion is an exponential decay function of the psychological distance between the responses. The problem of the operational definition of psychological distance is considered in some detail.

Type
Original Paper
Copyright
Copyright © 1957 The Psychometric Society

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Footnotes

*

This paper is based upon the theoretical sections of a Ph.D. dissertation submitted to the Graduate School of Yale University and upon subsequent modification carried out on a National Academy of Sciences-National Research Council Postdoctoral Associateship at the Naval Research Laboratory. The author is particularly indebted to Drs. C. I. Hovland, R. P. Abelson, and B. S. Rosner for their generous advice and support. Helpful criticisms have also been contributed by Drs. G. A. Miller, F. A. Logan, W. D. Garvey, J. G. Holland, and H. Glaser.

Now at Psychological Laboratories, Harvard University.

References

Attneave, F.. Dimensions of similarity. Amer. J. Psychol., 1950, 63, 516556CrossRefGoogle ScholarPubMed
Blumenthal, L. M.. Theory and applications of distance geometry, Oxford: Clarendon Press, 1953Google Scholar
Brown, J. S., Bilodeau, E. A., Baron, M. R.. Bidirectional gradients in the strength of a generalized voluntary response to stimuli on a visual-spatial dimension. J. exp. Psychol., 1951, 41, 5261CrossRefGoogle ScholarPubMed
Busemann, H.. The geometry of geodesics, New York: Academic Press, 1955Google Scholar
Bush, R. R., Mosteller, F.. A model for stimulus generalization and discrimination. Psychol. Rev., 1951, 58, 413423CrossRefGoogle Scholar
Bush, R. R., Mosteller, F.. Stochastic models for learning, New York: Wiley, 1955CrossRefGoogle Scholar
Duncan, C. P.. Development of response generalization gradients. J. exp. Psychol., 1955, 50, 2630CrossRefGoogle ScholarPubMed
Estes, W. K.. Towards a statistical theory of learning. Psychol. Rev., 1950, 57, 94107CrossRefGoogle Scholar
Frick, F. C.. An analysis of an operant discrimination. J. Psychol., 1948, 26, 93123CrossRefGoogle ScholarPubMed
Gibson, E. J.. Sensory generalization with voluntary reactions. J. exp. Psychol., 1939, 24, 237253CrossRefGoogle Scholar
Gulliksen, H., Wolfle, D. L.. A theory of learning and transfer: I.. Psychometrika, 1938, 3, 127149CrossRefGoogle Scholar
Guttman, N., Kalish, H. I.. Discriminability and stimulus generalization. J. exp. Psychol., 1956, 51, 7988CrossRefGoogle ScholarPubMed
Hovland, C. I.. The generalization of conditioned responses: I. The sensory generalization of conditioned responses with varying frequencies of tone. J. gen. Psychol., 1937, 17, 125148CrossRefGoogle Scholar
Hovland, C. I.. Human learning and retention. In Stevens, S. S. (Eds.), Handbook of experimental psychology, New York: Wiley, 1951Google Scholar
Hull, C. L.. Principles of behavior, New York: Appleton-Century, 1943Google Scholar
Kelley, J. L.. General topology, New York: Van Nostrand, 1955Google Scholar
Messick, S. J.. Some recent theoretical developments in multidimensional scaling. Educ. psychol. Measmt, 1956, 16, 82100CrossRefGoogle Scholar
Messick, S. J., Abelson, R. P.. The additive constant problem in multidimensional scaling. Psychometrika, 1956, 12, 115CrossRefGoogle Scholar
Margolius, G.. Stimulus generalization of an instrumental response as a function of the number of reinforced trials. J. exp. Psychol., 1955, 49, 105111CrossRefGoogle ScholarPubMed
Noble, M. E., Bahrick, H. P.. Response generalization as a function of intratask response similarity. J. exp. Psychol., 1956, 51, 405412CrossRefGoogle ScholarPubMed
Pillsbury, W. B.. A study in apperception. Amer. J. Psychol., 1897, 8, 315393CrossRefGoogle Scholar
Plotkin, L.. Stimulus generalization in Morse code learning. Arch. Psychol., 1943, 40, 287Google Scholar
Rosenbaum, G.. Stimulus generalization as a function of level of experimentally induced anxiety. J. exp. Psychol., 1953, 45, 3543CrossRefGoogle ScholarPubMed
Thurstone, L. L.. Multiple-factor analysis, Chicago: Univ. Chicago Press, 1947Google Scholar
Torgerson, W. S.. Multidimensional scaling: I. Theory and method. Psychometrika, 1952, 17, 401420CrossRefGoogle Scholar
Woodworth, R. S., Schlosberg, H.. Experimental psychology, New York: Holt, 1955Google Scholar
Young, G., Householder, A. S.. Discussion of a set of points in terms of their mutual distances. Psychometrika, 1938, 3, 1922CrossRefGoogle Scholar