Presents a theoretical account of human shift learning with the use of neural network tools. Details how simulations using the cascade-correlation algorithm which show that networks can capture the regularities of the discrimination shift literature better than existing psychological theories. Suggests that human developmental differences in shift…

Discussion centered on three sets of factors that may influence the variability observed in "concept identification" (concept formation and discrimination learning) studies: stimulus characteristics, incentives employed, and subject characteristics. Stimulus characteristics are described in terms of the number of dimensions…