Transposition and Generalization on an Artificial Dimension
Jeffrey Locke, Mark B. Suret, I.P.L. McLaren · eScholarship (California Digital Library) · 2003
In two experiments we demonstrate that a model based on generalization gives a good fit to data obtained when subjects have t o transfer learning based on one discrimination to another on the same dimension.Experiment 1 demonstrates an effect o f transposition-based transfer from pretraining to the subsequently trained target discriminations.Experiment 2 shows that this effect is unlikely to be an artifact caused by subjects' sensitivity to changes in stimulus-response assignments.