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Psychometrika

, Volume 26, Issue 4, pp 373–390 | Cite as

Stochastic learning theories for a response continuum with non-determinate reinforcement

  • Patrick Suppes
  • Joseph L. Zinnes
Article

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.

Keywords

Public Policy Theoretical Result Statistical Theory Learning Theory Sequential Statistic 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. [1]
    Suppes, P. A linear learning model for a continuum of responses. In R. R. Bush and W. K. Estes (Eds.),Studies in mathematical learning theory. Stanford: Stanford Univ. Press, 1959. Pp. 400–414.Google Scholar
  2. [2]
    Suppes, P. Stimulus sampling theory for a continuum of responses. In K. J. Arrow, S. Karlin, and P. Suppes (Eds.),Mathematical methods in the social sciences. Stanford: Stanford Univ. Press, 1960. Pp. 348–365.Google Scholar
  3. [3]
    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, 122–132.Google Scholar

Copyright information

© Psychometric Society 1961

Authors and Affiliations

  • Patrick Suppes
    • 1
  • Joseph L. Zinnes
    • 2
  1. 1.Stanford UniversityUSA
  2. 2.Indiana UniversityUSA

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