Integrating novel dimensions to eliminate category exceptions: When more is less

Journal of Experimental Psychology: Learning Memory and Cognition

Volumn 31, Issue 2, 2005, Pages 258-271

  Blair, Mark ^a,b   Homa, Don L ^a  

^a ARIZONA STATE UNIVERSITY   (United States)

^b INDIANA UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ASSOCIATION; HUMAN; LEARNING; SEMANTICS;

CUES; HUMANS; LEARNING; SEMANTICS; TRANSFER (PSYCHOLOGY);

EID: 15544367868     PISSN: 02787393     EISSN: None     Source Type: Journal    
DOI: 10.1037/0278-7393.31.2.258     Document Type: Article

References (36)

1. Ashby, F. G., & Gott, R. E. (1988). Decision rules in the perception and categorization of multidimensional stimuli. Journal of Experimental Psychology: Learning, Memory, and Cognition, 14, 33-53.
2. Biederman, I., & Shiffrar, M. M. (1987). Sexing day-old chicks: a case study and expert systems analysis of a difficult perceptual-learning task. Journal of Experimental Psychology: Learning, Memory, and Cognition, 13, 640-645.
3. Blair, M., & Homa, D. L. (2001). Expanding the search for a linear separability constraint on category learning. Memory & Cognition, 29, 1153-1164.
4. Blair, M., & Homa, D. L. (2003). As easy to memorize as they are to categorize: The 5-4 categories and the category advantage. Memory & Cognition, 31, 1293-1301.
5. Blair, M., & McBeath, M. K. (2001). Bangers in billiards - expert/novice differences in shot force. Manuscript in preparation.
6. Boster, J. S., & Johnson, J. C. (1989). Form or function: A comparison of expert and novice judgments of stimulus among fish. American Anthropologist, 91, 866-889.
7. Chi, M. T. H., Feltovich, P. J., & Glaser, R. (1981). Categorization and representation of physics problems by experts and novices. Cognitive Science, 5, 121-152.
8. Davies, S. P. (1994). Knowledge restructuring and the acquisition of programming expertise. International Journal of Human Computer Studies, 40, 703-726.
9. Delosh, E. L., Busemeyer, J. R., & McDaniel, M. A. (1997). Extrapolation: The sine qua non for abstraction in function learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 23, 968-986.
10. Farrand, J., Jr. (1988). How to identify birds. New York: McGraw-Hill.
11. Fass, D., & Feldman, J. (2002). Categorization under complexity: A unified MDL account of human learning of regular and irregular categories. In S. Becker, S. Thrun, & K. Obermayer (Eds,), Advances in neural information processing 15 (pp. 35-42). Cambridge, MA: MIT Press.
12. Feldman, J. (2003). The simplicity principle in human concept learning. Current Directions in Psychological Science, 12, 227-232.
13. Goldstone, R. L. (1994). Influences of categorization on perceptual discrimination. Journal of Experimental Psychology: General, 123, 178-200.
14. Goldstone, R. L. (2000). Utilization during category learning. Journal of Experimental Psychology: Human Perception and Performance, 26, 86-112.
15. Goldstone, R. L. (2003). Learning to perceive while perceiving to learn. In R. Kimchi, M. Behrmann, and C. Olson (Eds.), Perceptual organization in vision: Behavioral and neural perspectives (pp. 233-278). Mahwah, NJ: Erlbaum.
16. Goldstone, R. L., & Steyvers, M. (2001). The sensitization and differentiation of dimensions during category learning. Journal of Experimental Psychology: General, 130, 116-139.
17. Johnson, K. E., & Mervis, C. B. (1997). Effects of varying levels of expertise on the basic level of categorization. Journal of Experimental Psychology: General, 126, 248-277.
18. Kruschke, J. K. (1992). ALCOVE: An exemplar-based connectionist model of category learning. Psychological Review, 99, 22-44.
19. Kruschke, J. K. (1996). Base rates in category learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 22, 3-26.
20. Kruschke, J. K. (2001). Toward a unified model of attention in associative learning. Journal of Mathematical Psychology, 45, 812-863.
21. Kruschke, J. K., & Blair, N. J. (2000). Blocking and backward blocking involve learned inattention. Psychonomic Bulletin and Review, 7, 636-645.
22. Kruschke, J. K., & Johansen, M. K. (1999). A model of probabilistic category learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 25, 1083-1119.
23. Lewandowsky, S., Kalish, M., & Griffiths, T. L. (2000). Competing strategies in categorization: Expediency and resistance to knowledge restructuring. Journal of Experimental Psychology: Learning, Memory, and Cognition, 26, 1666-1684.
24. Love, B. C., Medin, D. L., & Gureckis, T. M. (2004). SUSTAIN A network model of category learning. Psychological Review, 111, 309-332.
25. Lynch, E. B., Coley, J. D., & Medin, D. L. (2000). Tall is typical: Central tendency, ideal dimensions, and graded category structure among tree experts and novices. Memory & Cognition, 28, 41-50.
26. MATLAB (Version 6.5.1, 2003) [Computer software]. Natick, MA: The Mathworks.
27. 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.
28. Medin, D. L., & Schaffer, M. M. (1978). Context theory of classification learning. Psychological Review, 85, 207-238.
29. Nosofsky, R. M., & Palmeri, T. J. (1998). A rule-plus-exception model for classifying objects in continuous-dimension spaces. Psychonomic Bulletin & Review, 5, 345-369.
30. Palmen, T. J., & Nosofsky, R. M. (1995). Recognition memory for exceptions to the category rule. Journal of Experimental Psychology: Learning, Memory, and Cognition, 21, 548-568.
31. Pearsall, N. R., Skipper, J. E. J., & Mintzes, J. J. (1997). Knowledge restructuring in the life sciences: A longitudinal study of conceptual change in biology. Science Education, 81, 193-215.
32. Schyns, P., Goldstone, R. L., & Thilbaut, J. P. (1998). The development of features in object concepts. Behavioral and Brain Sciences, 21, 1-54.
33. Schyns, P., & Rodet, L. (1997). Categorization creates functional features. Journal of Experimental Psychology: Learning, Memory, and Cognition, 23, 681-696.
34. Solomon, G. E. A. (1997). Conceptual change and wine expertise. Journal of the Learning Sciences, 6, 41-60.
35. Williams, A. M., & Davids, K. (1998). Visual search strategy, selective attention, and expertise in soccer. Research Quarterly for Exercise and Sport, 69, 111-128.
36. Williams, A. M., Davids, K., Burwitz, L., & Williams, J. G. (1994). Visual-search strategies in experienced and inexperienced soccer players. Research Quarterly for Exercise and Sport, 65, 127-135.