, 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


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.


Public Policy Theoretical Result Statistical Theory Learning Theory Sequential Statistic 
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  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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