title: Suboptimality in human categorization and identification.
abstract: Categorization and identification decision processes were examined and compared in 4 separate experiments. In all tasks, the critical stimulus component was a line that varied across trials in length and orientation, and the optimal decision rules were always complex piecewise quadratic functions. Evidence was found that identification is mediated by separate explicit and implicit systems. In addition, a common type of suboptimality was found in both categorization and identification. In particular, observers apparently approximated the piecewise quadratic functions of the optimal decision rules with simpler piecewise linear functions. A computational model, which was motivated by a recent neuropsychological theory of category learning, successfully accounted for this suboptimal performance in both categorization and identification. The model assigns a key role to the striatum and assumes the observed suboptimality was largely due to massive convergence of visual cortical cells onto single striatal units.
authors: Department of Psychology, University of California at Santa Barbara, 93106, USA. ashby@psych.ucsb.edu
authors: F G
authors: FG
authors: Ashby
authors: E M
authors: EM
authors: Waldron
authors: W W
authors: WW
authors: Lee
authors: A
authors: A
authors: Berkman
mesh_terms: D002140:California; D002965:Classification; D019336:Cognitive Science; D003657:Decision Making; D005260:Female; D006801:Humans; D008297:Male; D008960:Models, Psychological; D010364:Pattern Recognition, Visual; D017603:Signal Detection, Psychological