title: Category number impacts rule-based but not information-integration category learning: further evidence for dissociable category-learning systems.
abstract: Category number effects on rule-based and information-integration category learning were investigated. Category number affected accuracy and the distribution of best-fitting models in the rule-based task but had no effect on accuracy and little effect on the distribution of best-fining models in the information-integration task. In the 2 category conditions, rule-based learning was better than information-integration learning, whereas in the 4 category conditions, unidimensional and conjunctive rule-based learning was worse than information-integration learning. Rule-based strategies were used in the 2-category/rule-based condition, but about half of the observers used rule-based strategies in the 4-category unidimensional and conjunctive rule-based conditions. Information-integration strategies were used in the 4-category/ information-integration condition and by the end of training were used in the 2-category/information-integration condition.
authors.affiliation: Department of Psychology, University of Texas, Austin, TX 78712, USA. maddox@psy.utexas.edu
authors.forename: W Todd
authors.initials: WT
authors.lastname: Maddox
authors.forename: J Vincent
authors.initials: JV
authors.lastname: Filoteo
authors.forename: Kelli D
authors.initials: KD
authors.lastname: Hejl
authors.forename: A David
authors.initials: AD
authors.lastname: Ing
mesh_terms: D000328:Adult; D001244:Association; D005260:Female; D006801:Humans; D007858:Learning; D008297:Male