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A Component Model for Stimulus Variables in Discrimination Learning

Published online by Cambridge University Press:  01 January 2025

C. J. Burke
Affiliation:
Indiana University
W. K. Estes
Affiliation:
Indiana University

Abstract

A general function is derived describing the conditioning of a single stimulus component in a discriminative situation. This function, together with the combinatorial rules of statistical learning theory [5, 12], generates empirically testable formulas for learning of classical two-alternative discriminations, probabilistic discriminations, and discriminations based on the outcomes of preceding trials in partial reinforcement experiments.

Type
Original Paper
Copyright
Copyright © 1957 Psychometric Society

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Footnotes

*

The researches on which this paper is based were facilitated by a grant from the National Science Foundation.

By “determinate, non-contingent reinforcement” we mean that exactly one pre-designated reinforcing event occurs on each trial and that the probabilities of reinforcing events are not conditional upon the subjects’ responses.

References

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