A Component Model for Stimulus Variables in Discrimination Learning  

Oleh:

Burke, C. J. ; Estes, W. K.

Jenis: Article from Journal - e-Journal
Dalam koleksi: Psychometrika: A Journal of Quantitative Psychology vol. 22 no. 2 (Jun. 1957), page 133-145.
Topik: Single Stimulus Element; Terms of Response Probability; Role of Component Models; Discrimination Theory
Fulltext: Vol 22 No. 2 June 1957 p.133-145.pdf (539.19KB)

Isi artikel

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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