AN EXPERIMENTAL INVESTIGATION OF A MATHEMATICAL LEARNING MODEL.
PRINCETON UNIV NJ
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The model was applied to data from two experiments in which cats were trained on visual discrimination problems. In the first experiment, six cats were trained on a series of seven problems. The best fitting parameter values were factor analyzed to determine if a simple relationship existed between the parameters. A two-factor solution was obtained for the learning parameters, and a one-factor solution was obtained for the initial performance parameter. In the second experiment, nine split brain cats were trained on a visual discrimination problem, first with one eye occluded then with the other eye occluded. Previous split brain research has demonstrated that under the conditions used in this experiment no interocular transfer occurs. The learning parameters that were obtained for the first and second training had no significant differences. The reliability of the learning parameters was very high .992 and .952 respectively. The reliability of the initial probability parameter was very low .09, and the difference between the parameter for the first to the second training was significant at the .10 level. In both experiments, no significant differences were found between the model and the data. The model was therefore considered to fit the data well.
- Statistics and Probability