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Geometric and featural representations in semantic concepts

(2010) MEMORY & COGNITION. 38(7). p.962-968
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Abstract
We explore the adequacy of two types of similarity representation in the context of semantic concepts. To this end, we evaluate different categorization models, assuming either a geometric or a featural representation, using categorization decisions involving familiar and unfamiliar foods and animals. The study aims to assess the optimal stimulus representation as a function of the familiarity of the stimuli. For the unfamiliar stimuli, the geometric categorization models provide the best account of the categorization data, whereas for the familiar stimuli, the featural categorization models provide the best account. This pattern of results suggests that people rely on perceptual information to assign an unfamiliar stimulus to a category but rely on more elaborate conceptual knowledge when assigning a familiar stimulus.
Keywords
CONTEXT THEORY, MODEL, JUDGMENTS, COMPLEXITY, PROTOTYPES, SIMILARITY, CATEGORIZATION, STIMULUS, IDENTIFICATION, CLASSIFICATION

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Citation

Please use this url to cite or link to this publication:

Chicago
Vanpaemel, Wolf, Timothy Verbeemen, Matthew Dry, Tom Verguts, and Gert Storms. 2010. “Geometric and Featural Representations in Semantic Concepts.” Memory & Cognition 38 (7): 962–968.
APA
Vanpaemel, W., Verbeemen, T., Dry, M., Verguts, T., & Storms, G. (2010). Geometric and featural representations in semantic concepts. MEMORY & COGNITION, 38(7), 962–968.
Vancouver
1.
Vanpaemel W, Verbeemen T, Dry M, Verguts T, Storms G. Geometric and featural representations in semantic concepts. MEMORY & COGNITION. 2010;38(7):962–8.
MLA
Vanpaemel, Wolf, Timothy Verbeemen, Matthew Dry, et al. “Geometric and Featural Representations in Semantic Concepts.” MEMORY & COGNITION 38.7 (2010): 962–968. Print.
@article{1096387,
  abstract     = {We explore the adequacy of two types of similarity representation in the context of semantic concepts. To this end, we evaluate different categorization models, assuming either a geometric or a featural representation, using categorization decisions involving familiar and unfamiliar foods and animals. The study aims to assess the optimal stimulus representation as a function of the familiarity of the stimuli. For the unfamiliar stimuli, the geometric categorization models provide the best account of the categorization data, whereas for the familiar stimuli, the featural categorization models provide the best account. This pattern of results suggests that people rely on perceptual information to assign an unfamiliar stimulus to a category but rely on more elaborate conceptual knowledge when assigning a familiar stimulus.},
  author       = {Vanpaemel, Wolf and Verbeemen, Timothy and Dry, Matthew and Verguts, Tom and Storms, Gert},
  issn         = {0090-502X},
  journal      = {MEMORY \& COGNITION},
  keyword      = {CONTEXT THEORY,MODEL,JUDGMENTS,COMPLEXITY,PROTOTYPES,SIMILARITY,CATEGORIZATION,STIMULUS,IDENTIFICATION,CLASSIFICATION},
  language     = {eng},
  number       = {7},
  pages        = {962--968},
  title        = {Geometric and featural representations in semantic concepts},
  url          = {http://dx.doi.org/10.3758/MC.38.7.962},
  volume       = {38},
  year         = {2010},
}

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