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Memory & Cognition

, Volume 30, Issue 1, pp 119–128 | Cite as

A further investigation of category learning by inference

  • Amy L. Anderson
  • Brian H. RossEmail author
  • Seth Chin-Parker
Article

Abstract

Categories are learned in many ways besides by classification, for example, by making inferences about classified items. One hypothesis is that classifications lead to the learning of features that distinguish categories, whereas inferences promote the learning of the internal structure of categories, such as the typical features. Experiment 1 included single-feature and full-feature classification tests following either classification or inference learning. Consistent with predictions, inference learners did better on the single tests but worse on the full tests. Experiment 2 further showed that inference learners, unlike classification learners, were no better at classifying items that they had seen at study compared with equally typical items they had not seen at study. Experiment 3 showed that features queried about during inference learning were classified better than ones not queried about, although even the latter features showed some learning on single-feature tests. The discussion focuses on how different types of category learning lead to different category representations.

Keywords

Category Structure Confidence Score Single Feature Category Learning Category Label 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Anderson, J. R. (1991). The adaptive nature of human categorization.Psychological Review,98, 409–429.CrossRefGoogle Scholar
  2. Billman, D., &Heit, E. (1988). Observational learning from internal feedback: A simulation of an adaptive learning method.Cognitive Science,12, 587–625.CrossRefGoogle Scholar
  3. Boster, J. S., &Johnson, J. C. (1989). Form or function: A comparison of expert and novice judgments of similarity among fish.American Anthropologist,91, 866–889.CrossRefGoogle Scholar
  4. Chin-Parker, S., & Ross, B. H. (in press). The effect of category learning on sensitivity to within-category correlations.Memory & Cognition.Google Scholar
  5. Fried, L. S., &Holyoak, K. J. (1984). Induction of category distributions: A framework for classification learning.Journal of Experimental Psychology: Learning, Memory, & Cognition,10, 234–257.CrossRefGoogle Scholar
  6. Kersten, A. W., Goldstone, R. L., &Schaffert, A. (1998). Two competing attentional mechanisms in category learning.Journal of Experimental Psychology: Learning, Memory, & Cognition,24, 1437–1458.CrossRefGoogle Scholar
  7. Kruschke, J. K. (1992). ALCOVE: An exemplar-based connectionist model of category learning.Psychological Review,99, 22–44.CrossRefPubMedGoogle Scholar
  8. Lassaline, M. E., &Murphy, G. L. (1996). Induction and category coherence.Psychonomic Bulletin & Review,3, 95–99.CrossRefGoogle Scholar
  9. Love, B. C., & Medin, D. L. (2001). SUSTAIN: A network model of category learning. Manuscript submitted for publication.Google Scholar
  10. Medin, D. L., Lynch, E. B., Coley, J. D., &Atran, S. (1997). Categorization and reasoning among tree experts: Do all roads lead to Rome?Cognitive Psychology,32, 49–96.CrossRefPubMedGoogle Scholar
  11. Medin, D. L., &Schaffer, M. M. (1978). Context theory of classification learning.Psychological Review,85, 207–238.CrossRefGoogle Scholar
  12. Medin, D. L, Wattenmaker, W. D., &Hampson, S. E. (1987). Family resemblance, conceptual cohesiveness, and category construction.Cognitive Psychology,19, 242–279.CrossRefPubMedGoogle Scholar
  13. Murphy, G. L., &Ross, B. H. (1994). Predictions from uncertain categorizations.Cognitive Psychology,27, 148–193.CrossRefPubMedGoogle Scholar
  14. Nosofsky, R. M. (1988). Similarity, frequency, and category representations.Journal of Experimental Psychology: Learning, Memory, & Cognition,14, 54–65.CrossRefGoogle Scholar
  15. Nosofsky, R. M., Palmeri, T. J., &McKinley, S. C. (1994). Rule-plusexception model of classif ication learning.Psychological Review,101, 53–79.CrossRefPubMedGoogle Scholar
  16. Rosch, E., &Mervis, C. (1975). Family resemblances: Studies in the internal structure of categories.Cognitive Psychology,7, 573–605.CrossRefGoogle Scholar
  17. Ross, B. H. (1997). The use of categories affects classification.Journal of Memory & Language,37, 240–267.CrossRefGoogle Scholar
  18. Ross, B. H. (1999). Postclassification category use: The effects of learning to use categories after learning to classify.Journal of Experimental Psychology: Learning, Memory, & Cognition,25, 743–757.CrossRefGoogle Scholar
  19. Ross, B. H. (2000). The effects of category use on learned categories.Memory & Cognition,28, 51–63.CrossRefGoogle Scholar
  20. Ross, B. H., &Makin, V. S. (1999). Prototype versus exemplar models. In R. J. Sternberg (Ed.),The nature of cognition (pp. 205–241). Cambridge, MA: MIT Press, Bradford Books.Google Scholar
  21. Ross, B. H., &Murphy, G. L. (1996). Category-based predictions: The influence of uncertainty and feature associations.Journal of Experimental Psychology: Learning, Memory, & Cognition,22, 736–753.CrossRefGoogle Scholar
  22. Smith, J. D., &Minda, J. P. (1998). Prototypes in the mist: The early epochs of category learning.Journal of Experimental Psychology: Learning, Memory, & Cognition,24, 1411–1436.CrossRefGoogle Scholar
  23. Solomon, K. O., Medin, D. L., &Lynch, E. (1999). Concepts do more than categorize.Trends in Cognitive Science,3, 99–105.CrossRefGoogle Scholar
  24. Yamauchi, T., Love, B. C., & Markman, A. B. (in press). Inference and classification with nonlinearly separable categories.Journal of Experimental Psychology: Learning, Memory, & Cognition.Google Scholar
  25. Yamauchi, T., &Markman, A. B. (1998). Category-learning by inference and classification.Journal of Memory & Language,39, 124–148.CrossRefGoogle Scholar
  26. Yamauchi, T., &Markman, A. B. (2000). Inference using categories.Journal of Experimental Psychology: Learning, Memory, & Cognition,26, 776–795.CrossRefGoogle Scholar

Copyright information

© Psychonomic Society, Inc. 2002

Authors and Affiliations

  • Amy L. Anderson
    • 1
  • Brian H. Ross
    • 1
    Email author
  • Seth Chin-Parker
    • 1
  1. 1.Beckman InstituteUniversity of IllinoisUrbana

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