title: Rule-based extrapolation: a continuing challenge for exemplar models.
abstract: Erickson and Kruschke (1998, 2002) demonstrated that in rule-plus-exception categorization, people generalize category knowledge by extrapolating in a rule-like fashion, even when they are presented with a novel stimulus that is most similar to a known exception. Although exemplar models have been found to be deficient in explaining rule-based extrapolation, Rodrigues and Murre (2007) offered a variation of an exemplar model that was better able to account for such performance. Here, we present the results of a new rule-plus-exception experiment that yields rule-like extrapolation similar to that of previous experiments, and yet the data are not accounted for by Rodrigues and Murre's augmented exemplar model. Further, a hybrid rule-and-exemplar model is shown to better describe the data. Thus, we maintain that rule-plus-exception categorization continues to be a challenge for exemplar-only models.
authors.affiliation: Department of Psychological and Brain Sciences, Indiana University, Bloomington, Indiana 47405-7007, USA. sedenton@indiana.edu
authors.forename: Stephen E
authors.initials: SE
authors.lastname: Denton
authors.forename: John K
authors.initials: JK
authors.lastname: Kruschke
authors.forename: Michael A
authors.initials: MA
authors.lastname: Erickson
mesh_terms: D000293:Adolescent; D003657:Decision Making; D004193:Discrimination Learning; D005260:Female; D005795:Generalization, Stimulus; D006801:Humans; D008297:Male; D015233:Models, Statistical; D010364:Pattern Recognition, Visual; D011214:Practice, Psychological; D012858:Size Perception; D055815:Young Adult
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