Search

Presents experiments designed to determine the effects of irrelevant information on learning probabilistic categories. Irrelevant information's negative effect on performance and on relevant information being used; Effects not due to its being irrelevant but due to adding more information.

Examines the ability of people to utilize probabilistic information using the paradigm of nonmetric multiple-cue probability learning. Learning in a probabilistic environment; Test of the Castellan-Edgell and the Gluck-Bower models; Utilization of configural information.