Competing Strategies in Categorization: Expediency and Resistance to Knowledge Restructuring

Journal of Experimental Psychology: Learning Memory and Cognition

Volumn 26, Issue 6, 2000, Pages 1666-1684

  Lewandowsky, Stephan ^a   Kalish, Mike ^a   Griffiths, Thomas L ^a  

^a UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ADULT; ARTICLE; FEMALE; HUMAN; KNOWLEDGE; MALE; MENTAL FUNCTION; PSYCHOLOGICAL MODEL; RANDOMIZATION; TASK PERFORMANCE;

ADOLESCENT; ADULT; FEMALE; HUMANS; KNOWLEDGE; MALE; MENTAL PROCESSES; MODELS, PSYCHOLOGICAL; RANDOM ALLOCATION; TASK PERFORMANCE AND ANALYSIS;

EID: 0034332286     PISSN: 02787393     EISSN: None     Source Type: Journal    
DOI: 10.1037/0278-7393.26.6.1666     Document Type: Article

References (39)

1. Albini, F. A. (1984). Wildland fires. American Scientist, 72, 590-597.
2. 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.
3. 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.
4. Brooks, L. R., Norman, G. R., & Allen, S. W. (1991). Role of specific similarity in a medical diagnostic task. Journal of Experimental Psychology: General, 120, 278-287.
5. Davies, S. P. (1994). Knowledge restructuring and the acquisition of programming expertise. International Journal of Human-Computer Studies, 40, 703-726.
6. Delaney, P. F., Reder, L. M., Staszewski, J. J., & Ritter, F. E. (1998). The strategy-specific nature of improvement: The power law applies by strategy within task. Psychological Science, 9, 1-7.
7. Edgell, S. E. (1983). Delayed exposure to configural information in non-metric multiple-cue probability learning. Organizational Behavior and Human Decision Processes, 32, 55-65.
8. Edgell, S. E., & Morissey, J. M. (1987). Delayed exposure to additional relevant information in nonmetric multiple-cue probability learning. Organizational Behavior and Human Decision Processes, 40, 22-38.
9. Erickson, M. A., & Kruschke, J. K. (1998). Rules and exemplars in category learning. Journal of Experimental Psychology: General, 127, 107-140.
10. Erickson, M. A., & Kruschke, J. K. (1999). Rule and exemplar representation in rule-defined category structures. Manuscript submitted for publication.
11. Erickson, M. A., & Kruschke, J. K. (2000). Rule-based extrapolation in perceptual categorization. Manuscript submitted for publication.
12. Gluck, M. A., & Bower, G. H. (1988). From conditioning to category learning: An adaptive network model. Journal of Experimental Psychology: General, 117, 227-247.
13. Kamin, L. J. (1969). Predictability, surprise, attention, and conditioning. In B. A. Campbell & R. M. Church (Eds.), Punishment and aversive behavior (pp. 279-296). New York: Appleton-Century-Crofts.
14. Kruschke, J. K. (1992). ALCOVE: An exemplar-based connectionist model of category learning. Psychological Review, 99, 22-44.
15. Larkin, J. H., & Simon, H. A. (1987). Why a diagram is (sometimes) worth ten thousand words. Cognitive Science, 11, 65-99.
16. Lesgold, A., Rubinson, H., Feltovich, P., Glaser, R., Klopfer, D., & Wang, Y. (1988). Expertise in a complex skill: Diagnosing X-ray pictures. In M. T. H. Chi, R. Glaser, & M. J. Fair (Eds.), The nature of expertise (pp. 311-342). Hillsdale, NJ: Erlbaum.
17. Lewandowsky, S., Dunn, J. C., Kirsner, K., & Randell, M. (1997). Expertise in the management of bush fires: Training and decision support. The Australian Psychologist, 32, 171-177.
18. Lewandowsky, S., & Kirsner, K. (2000). Expert knowledge is not always integrated: A case of cognitive partition. Memory & Cognition, 28, 295-305.
19. Lightfoot, N., & Shiffrin, R. M. (1992). On the unitization of novel, complex visual stimuli. Proceedings of the Fourteenth Annual Conference of the Cognitive Science Society (pp. 277-282). Hillsdale, NJ: Erlbaum.
20. Macho, S. (1997). Effects of relevance shifts in category acquisition: A test of neural networks. Journal of Experimental Psychology: Learning, Memory, and Cognition, 23, 30-53.
21. Mayer, R. E., & Gallini, J. K. (1990). When is an illustration worth ten thousand words? Journal of Educational Psychology, 82, 715-716.
22. Medin, D. L., Altom, M. W., Edelson, S. M., & Freko, D. (1982). Correlated symptoms and simulated medical classification. Journal of Experimental Psychology: Learning, Memory, and Cognition, 8, 37-50.
23. Medin, D. L., & Edelson, S. M. (1988). Problem structure and the use of base-rate information from experience. Journal of Experimental Psychology: General, 117, 68-85.
24. Nosofsky, R. M. (1986). Attention, similarity, and the identification-categorization relationship. Journal of Experimental Psychology: General, 115, 39-57.
25. Nosofsky, R. M., Clark, S. E., & Shin, J. H. (1989). Rules and exemplars in categorization, identification, and recognition. Journal of Experimental Psychology: Learning, Memory, and Cognition, 15, 282-304.
26. Nosofsky, R. M., Palmeri, T. J., & McKinley, S. C. (1994). Rule-plus-exception model of classification learning. Psychological Review, 101, 53-79.
27. Palmeri, 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.
28. Pearsall, N. R., Skipper, J. J., & Mintzes, J. J. (1997). Knowledge restructuring in the life sciences: A longitudinal study of conceptual change in biology. Science Education, 81, 193-215.
29. Postman, L. (1971). Transfer, interference, and forgetting. In L. W. Kling & L. A. Riggs (Eds.), Experimental psychology (pp. 1019-1032). New York: Holt, Rinehart, and Winston.
30. Rescorla, R. A., & Wagner, A. R. (1972). A theory of Pavlovian conditioning: Variations in the effectiveness of reinforcement and nonreinforcement. In A. H. Black & W. F. Prokasy (Eds.), Classical conditioning II: Current theory and research (pp. 64-99). New York: Appleton-Century-Crofts.
31. Schyns, P. G., & Rodet, L. (1997). Categorization creates functional features. Journal of Experimental Psychology: Learning, Memory, and Cognition, 23, 681-696.
32. Shanks, D. R. (1985). Forward and backward blocking in human contingency judgment. Quarterly Journal of Experimental Psychology: Comparative and Physiological Psychology, 37B, 1-21.
33. Shanks, D. R. (1991). Categorization by a connectionist network. Journal of Experimental Psychology: Learning, Memory, and Cognition, 17, 433-443.
34. Shanks, D. R. (1993). Associative versus contingency accounts of category learning: Reply to Melz, Cheng, Holyoak, and Waldmann (1993). Journal of Experimental Psychology: Learning, Memory, and Cognition, 19, 1411-1423.
35. Shiffrin, R. M. (1996). Laboratory experimentation on the genesis of expertise. In K. A. Ericsson (Ed.), The road to excellence: The acquisition of expert performance in the arts and sciences, sports and games (pp. 337-345). Hillsdale, NJ: Erlbaum.
36. Shiffrin, R. M., & Schneider, W. (1977). Controlled and automatic human information processing: II. Perceptual learning, automatic attending, and a general theory. Psychological Review, 84, 127-190.
37. Staszewski, J. J. (1988). Skilled memory and expert mental calculation. In M. Chi, R. Glaser, & M. Farr (Eds.), The nature of expertise (pp. 71-128). Hillsdale, NJ: Erlbaum.
38. Wasserman, E. A., & Berglan, L. R. (1998). Backward blocking and recovery from overshadowing in human causal judgment: The role of within-compound associations. Quarterly Journal of Experimental Psychology: Comparative and Physiological Psychology, 51B, 121-138.
39. Williams, D. A., Sagness, K. E., & McPhee, J. E. (1994). Configural and elemental strategies in predictive learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 20, 694-709.