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A component model for stimulus variables in discrimination learning

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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.

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Authors and Affiliations

  1. Indiana University, USA

    C. J. Burke

Authors
  1. C. J. Burke
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  2. W. K. Estes
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Additional information

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

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Burke, C.J., Estes, W.K. A component model for stimulus variables in discrimination learning. Psychometrika 22, 133–145 (1957). https://doi.org/10.1007/BF02289049

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  • DOI: https://doi.org/10.1007/BF02289049

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