Numerical predictions for serial, parallel, and coactive logical rule-based models of categorization response time

Recent theoretical advances in theories of categorization response times have made it possible to differentiate mental architectures that specify how processes occurring over several information-processing channels are combined (e.g., in serial or in parallel). This article introduces the numerical computations necessary to generate predictions for a class of logical rule-based models that have recently been used to account for speeded perceptual categorization judgments (Fifi?, M., Little, D.R. & Nosofsky, R. M. . Psychological Review, 117:309–348, 2010).