title: Numerical predictions for serial, parallel, and coactive logical rule-based models of categorization response time.
abstract: 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 (Fifić, M., Little, D.R. & Nosofsky, R. M. . Psychological Review, 117:309-348, 2010).
authors.affiliation: Psychological Sciences, University of Melbourne, Parkville, Victoria, 3053, Australia. daniel.little@unimelb.edu.au
authors.forename: Daniel R
authors.initials: DR
authors.lastname: Little
mesh_terms: D002755:Choice Behavior; D006801:Humans; D007600:Judgment; D008960:Models, Psychological; D011930:Reaction Time / Q000502:physiology*