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Application of a model to paired-associate learning

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  • Gordon Bower
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    File URL: http://hdl.handle.net/10.1007/BF02289796
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    Bibliographic Info

    Article provided by Springer in its journal Psychometrika.

    Volume (Year): 26 (1961)
    Issue (Month): 3 (September)
    Pages: 255-280

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    Handle: RePEc:spr:psycho:v:26:y:1961:i:3:p:255-280

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    Web page: http://www.springerlink.com/link.asp?id=112911

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    Cited by:
    1. James Greeno & Theodore Steiner, 1964. "Markovian processes with identifiable states: General considerations and application to all-or-none learning," Psychometrika, Springer, vol. 29(4), pages 309-333, December.
    2. Herbert Simon, 1962. "A note on mathematical models for learning," Psychometrika, Springer, vol. 27(4), pages 417-418, December.
    3. James Greeno & Theodore Steiner, 1968. "Comments on “markovian processes with identifiable states: General considerations and applications to all-or-none learning”," Psychometrika, Springer, vol. 33(2), pages 169-172, June.
    4. Richard Bogartz, 1966. "Theorems for a finite sequence from a two-state, first-order markov chain with stationary transition probabilities," Psychometrika, Springer, vol. 31(3), pages 383-395, September.
    5. Harley Bernbach, 1966. "Derivation of learning process statistics for a general markov model," Psychometrika, Springer, vol. 31(2), pages 225-234, June.
    6. Peter Polson, 1970. "Statistical methods for a general theory of all-or-none learning," Psychometrika, Springer, vol. 35(1), pages 51-72, March.
    7. Guy Groen, 1971. "Stochastic processes and the guttman simplex," Psychometrika, Springer, vol. 36(3), pages 289-302, September.

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