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Similarity and dissimilarity as evidence in perceptual categorization

By Neil Stewart and G. D. A. Brown

Abstract

In exemplar models the similarities between a new stimulus and each category exemplar constitute positive evidence for category membership. In contrast, other models assume that, if the new stimulus is sufficiently dissimilar to a category member, then that dissimilarity constitutes evidence against category membership. We propose a new similarity–dissimilarity exemplar model that provides a framework for integrating these two types of accounts. The evidence for a category is assumed to be the summed similarity to members of that category plus the summed dissimilarity to members of competing categories. The similarity–dissimilarity exemplar model is shown to mimic the standard exemplar model very closely in the unidimensional domain.\ud \u

Topics: BF
Publisher: Elsevier
OAI identifier: oai:wrap.warwick.ac.uk:601

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Citations

  1. (2001). A context noise model of episodic word recognition. doi
  2. (1965). A simplex method for function minimization. doi
  3. (1997). An exemplar-based random walk model of speeded classification. doi
  4. (1986). Attention, similarity and the identification-categorization relationship. doi
  5. (1994). Classification and cognition. doi
  6. (1993). Comparing decision bound and exemplar models of categorization. doi
  7. (2002). Comparisons between exemplar similarity and mixed prototype models using a linearly separable category structure. doi
  8. (1978). Context theory of classification learning. doi
  9. (1988). Decision rules in the perception and categorization of multidimensional stimuli. doi
  10. (1998). Dissociations between categorization and recognition in amnesic and normal individuals: An exemplar-based interpretation. doi
  11. (1959). Effects of discrimination training on stimulus generalization. doi
  12. (2002). Exemplar and prototype models revisited: Response strategies, selective attention, and stimulus generalization. doi
  13. (1996). Exemplar models and prototype effects in similarity-based categorization. doi
  14. (1977). Features of similarity. doi
  15. (2003). Prototype and exemplar accounts of category learning and attentional allocation: A reassessment. doi
  16. (1995). Prototype effects and peak shift in categorization. doi
  17. (1993). Relations between prototype, exemplar and decision bound models of categorization. doi
  18. (2002). Sequence effects in categorization of simple perceptual stimuli. doi
  19. (2004). Sequence effects in categorizing tones varying in frequency. doi
  20. (1976). Some functions in memory in probability learning and choice behavior. In doi
  21. (1997). Some reflections on the role of the choice model in theories of categorization, identification, and learning. In
  22. (1958). Stimulus and response generalization: Deduction of the generalization gradient from a trace model. doi
  23. (2000). Tests of the ratio rule in categorization. doi
  24. (1960). The distinctiveness of stimuli. doi
  25. (2003). The effect of feature frequency on short-term recognition memory. doi
  26. (2000). The extralist-feature effect: Evidence against item matching in short-term recognition memory. doi
  27. (1987). Towards a universal law of generalization for psychological science. doi
  28. (2002). What information underlies correct rejections in short-term recognition memory? doi

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