ABSTRACT: The primary goal of this chapter is to report a connectionist model that integrates five principles of category learning previously implemented separately. Previous work by Kruschke (1995) modeled the generalization phase of the ``inverse base-rate effect'' (Medin and Edelson, 1988), but did not address performance in the learning phase. That work emphasized the principles of rapid attention shifts and consistent use of base rate knowledge. Subsequent work by Kruschke and Bradley (1995) addressed the learning phase of a simpler categorization task, and emphasized the principles of short-term memory and strategic guessing. The present chapter integrates principles from both previous reports, and applies the integrated model to both the learning and generalization phases of the inverse base-rate effect.