Markov Processes in Learning Theory  

Oleh:

Kemeny, John G. ; Snell, J. Laurie

Jenis: Article from Journal - e-Journal
Dalam koleksi: Psychometrika: A Journal of Quantitative Psychology vol. 22 no. 3 (Sep. 1957), page 221-230.
Topik: Class o] Markov Chains; Recursion Relation for the Limiting Probabilities; Limiting Distribution for Large n; Bush-Mosleller Markov Process; D¢stribution o] 8 ]o~ the Case 0 > 1/2; Case 0 = 1/2; Characteristic Function of S
Fulltext: Vol 22 No. 3 Sept 1957 p.221-230.pdf (424.38KB)

Isi artikel

Consideration is given mathematical problems arising in two learning theories—one developed by Bush and Mosteller, the other developed by Estes. The theory of Bush and Mosteller leads to a class of Markov processes which have been studied in considerable detail (see [1] and [7]). The Estes model can be treated as a Markov chain, i.e., a Markov process with a finite number of states. For an important class of special cases, it is shown that the Bush-Mosteller model is, in a sense, a limiting form of the Estes model. The limiting probability distributions are derived for the cases treated in both models.

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