Theory of Learning with Constant, Variable, or Contingent Probabilities of Reinforcement  

Oleh:

Estes, W. K.

Jenis: Article from Journal - e-Journal
Dalam koleksi: Psychometrika: A Journal of Quantitative Psychology vol. 22 no. 2 (Jun. 1957), page 113-132.
Topik: General Solution; Asymptotic Matching Theorem; Non-Contingent Case; Contingent Case; Interpretation of the Model
Fulltext: Vol 22 No. 2 June 1957 p.113-132.pdf (791.19KB)

Isi artikel

The methods used in recent probabilistic learning models to generate mean curves of learning under random reinforcement are extended to the general case in which probability of reinforcement may vary in any specified manner as a function of trials and to cases in which probability of reinforcement on a given trial is contingent upon responses or outcomes of preceding trials.

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