title: Fruits and vegetables categorized: an application of the generalized context model.
abstract: In the study reported in this paper, we investigated the categorization of well-known and novel food items in the categories fruits and vegetables. Predictions based on Nosofsky's (1984,1986) generalized context model (GCM), on a multiplicative-similarity prototype model, and on an instantiation model as applied in Storms, De Boeck, and Ruts (2001) were compared. Despite suggestions in the literature that prototype models predict categorization from large categories better than exemplar models do, our results showed that the exemplar-based GCM yielded clearly better predictions than did a (multiplicative-similarity) prototype model.
authors.affiliation: University of Leuven, Leuven, Belgium.
authors.forename: Tim
authors.initials: T
authors.lastname: Smits
authors.forename: Gert
authors.initials: G
authors.lastname: Storms
authors.forename: Yves
authors.initials: Y
authors.lastname: Rosseel
authors.forename: Paul
authors.initials: P
authors.lastname: De Boeck
mesh_terms: D000328:Adult; D003210:Concept Formation; D003657:Decision Making; D004193:Discrimination Learning; D005638:Fruit; D005795:Generalization, Stimulus; D006801:Humans; D010364:Pattern Recognition, Visual / Q000145:classification*; D014675:Vegetables