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Finite Markov Processes in Psychology

Published online by Cambridge University Press:  01 January 2025

George A. Miller
George A. Miller*
Affiliation:
Massachusetts Institute of Technology
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Abstract

Finite Markov processes are reviewed and considered for their usefulness in the description of behavioral data. The various alternative responses in an experimental situation define a vector space, and changes in the probabilities of these alternatives are represented by movements in this space. Methods of fitting the theory to experimental data are considered.

The simplest process, with a constant matrix of transitional probabilities that is applied repeatedly to represent the effect of successive trials, seems inadequate for most learning data. A matrix function that may be useful for learning theory is presented.

Type
Original Paper
Information
Psychometrika , Volume 17 , Issue 2 , June 1952 , pp. 149 - 167
Copyright
Copyright © 1952 The Psychometric Society

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Footnotes

*

This article was written at the Institute for Advanced Study in Princeton, New Jersey, while the author was on sabbatical leave from Harvard University.