A stochastic model for rote serial learning
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A model for the acquisition of responses in an anticipatory rote serial learning situation is presented. The model is developed in detail for the case of a long intertrial interval and employed to fit data where the list length is varied from 8 to 18 words. Application of the model to the case of a short intertrial interval is considered; some predictions are derived and checked against experimental data.
KeywordsExperimental Data Public Policy Stochastic Model Statistical Theory Intertrial Interval
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