A statistical description of verbal learning

作者: George A. Miller , William J. McGill

DOI: 10.1007/BF02288914

关键词: Statistical theoryArgumentExperimental dataMathematicsRecallCognitive psychologyAlgorithmWord (group theory)Interpretation (logic)Set theoryVerbal learningApplied mathematicsGeneral psychology

摘要: Free-recall verbal learning is analyzed in terms of a probability model. The general theory assumes that the recalling word on any trial completely determined by number times has been recalled previous trials. Three particular cases this are examined. In these three cases, specific restrictions placed upon relation between recall and recalls. application special to typical experimental data illustrated. An interpretation model set suggested but not essential argument.

参考文章(4)
Richard G. Cooke, Infinite Matrices and Sequence Spaces ,(1966)
William Feller, On the Theory of Stochastic Processes, with Particular Reference to Applications Proceedings of the [First] Berkeley Symposium on Mathematical Statistics and Probability. pp. 403- 432 ,(1949) , 10.1007/978-3-319-16859-3_42
William K. Estes, Toward a Statistical Theory of Learning. Psychological Review. ,vol. 101, pp. 94- 107 ,(1994) , 10.1037/0033-295X.101.2.282
Max A. Woodbury, On a Probability Distribution Annals of Mathematical Statistics. ,vol. 20, pp. 311- 313 ,(1949) , 10.1214/AOMS/1177730043