Concept learning and feature interpretation

Memory and Cognition

Volumn 28, Issue 3, 2000, Pages 439-451

  Spalding, Thomas L ^a,c   Ross, Brian H ^b  

^a UNIVERSITY OF IOWA   (United States)

^b UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^c UNIVERSITY OF WESTERN ONTARIO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ANALYTIC METHOD; ARTICLE; CLINICAL ARTICLE; COGNITION; CONCEPT FORMATION; DECISION MAKING; FEMALE; HUMAN; LEARNING; MALE; PERCEPTION; PROBLEM SOLVING; STIMULUS RESPONSE; TASK PERFORMANCE;

EID: 0034090067     PISSN: 0090502X     EISSN: None     Source Type: Journal    
DOI: 10.3758/BF03198559     Document Type: Article

References (41)

1. ALLEN, S. W., NORMAN, G. R., & BROOKS, L. R. (1992). Experimental studies of learning dermatologie diagnosis: The impact of examples. Teaching & Learning in Medicine, 4, 35-44.
2. ANDERSON, J. R. ( 1991 ). The adaptive nature of human categorization. Psychological Review, 98, 409-429.
3. ASCH, S. E. (1946). Forming impressions of personality. Journal of Abnormal & Social Psychology, 41, 258-290.
4. ELIO, R., & ANDERSON, J. R. (1981). The effects of category generalizations and instance similarity on schema abstraction. Journal of Experimental Psychology: Human Learning & Memory, 7, 397-417.
5. ELIO, R., & ANDERSON, J. R. (1984). The effects of information order and learning mode on schema abstraction. Memory & Cognition, 12, 20-30.
6. GOLDSTONE, R. L. (1995). Effects of categorization on color perception. Psychological Science, 6, 298-304.
7. GROSZ, B. J., POLLACK, M. E., & SIDNER, C. L. (1989). Discourse. In M. I. Posner (Ed.), Foundations of cognitive science (pp. 437-468). Cambridge, MA: MIT Press.
8. HINTZMAN, D. L. ( 1986). "Schema abstraction" in a multiple-trace memory model. Psychological Review, 93, 411-428.
9. HINTZMAN, D. L. (1988). Judgments of frequency and recognition memory in a multiple-trace memory model. Psychological Review, 95, 528-551.
10. KOMATSU, L. K. (1992). Recent views of conceptual structure. Psychological Bulletin, 112, 500-526.
11. MEDIN, D. L. (1989). Concepts and conceptual structure. American Psychologist, 44, 1469-1481.
12. MEDIN, D. L., & BETTGER, J. G. (1994). Presentation order and recognition of categorically related examples. Psychonomic Bulletin & Review, 1, 250-254.
13. MEDIN, D. L., & FLORIAN, J. E. (1992). Abstraction and selective coding in exemplar-based models of categorization. In A. Healy, S. Kosslyn, & R. Shiffrin (Eds.), From learning processes to cognitive processes: Essays in honor of William K. Estes (Vol. 2, pp. 207-234). Hillsdale, NJ: Erlbaum.
14. MEDIN, D. L., GOLDSTONE, R. L., & GENTNER, D. (1993). Respects for similarity. Psychological Review, 100, 254-278.
15. MEDIN, D. L., & ORTONY, A. (1989). Psychological essentialism. In S. Vosniadou & A. Ortony (Eds.), Similarity and analogical reasoning (pp. 179-195). New York: Cambridge University Press.
16. MEDIN, D. L., & SCHAFFER, M. M. (1978). Context theory of classification learning. Psychological Review, 85, 207-238.
17. MICHALSKI, R. S. ( 1983). A theory and methodology of inductive learning. In R. S. Michalski, J. G. Carbonell, & T. M. Mitchell (Eds.), Machine learning: An artificial intelligence approach (pp. 83-134). Palo Alto, CA: Tioga.
18. MOONEY, R. J. (1993). Integrating theory and data in category learning. In D. L. Medin (Ed.), The psychology of learning and motivation (Vol. 29, pp. 189-218). San Diego: Academic Press.
19. MURPHY, G. L. ( 1993). Theories and concept formation. In I. van Mechelen, J. Hampton, R. Michalski, & P. Theuns (Eds.), Categories and concepts: Theoretical views and inductive data analysis (pp. 173-200). London: Academic Press.
20. MURPHY, G. L., & MEDIN, D. L. (1985). The role of theories in conceptual coherence. Psychological Review, 92, 289-316.
21. MURPHY, G. L., & SPALDING, T. L. (1995). Knowledge, similarity, and concept formation. Psychologica Belgica, 35, 127-144.
22. PEVTZOW, R., & GOLDSTONE, R. L. (1994). Categorization and the parsing of objects. In Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society (pp. 717-722). Hillsdale, NJ: Erlbaum.
23. POSNER, M. I., & KEELE, S. W. (1968). On the genesis of abstract ideas. Journal of Experimental Psychology, 77, 353-363.7
24. POSNER, M. I., & KEELE, S. W. (1970). Retention of abstract ideas. Journal of Experimental Psychology, 83, 304-308.
25. ROSCH, E. (1975). Cognitive representation of semantic categories. Journal of Experimental Psychology: General, 104, 192-233.
26. ROSCH, E. (1978). Principles of categorization. In E. Rosch & B. B. Lloyd (Eds.), Cognition and categorization (pp. 27-48). Hillsdale, NJ: Erlbaum.
27. ROSCH, E., & MERVIS, C. B. (1975). Family resemblance: Studies in the internal structure of categories. Cognitive Psychology, 7, 573-605.
28. ROSS, B. H., & BRADSHAW, G. L. (1994). Encoding effects of remindings. Memory & Cognition, 22, 591-605.
29. ROSS, B. H., PERKINS, S. J., & TENPENNY, P. L. (1990). Reminding-based category learning. Cognitive Psychology, 22, 460-492.
30. SCHYNS, P. G., GOLDSTONE, R. L., & THIBAUT, J.-P. (1998). The development of features in object concepts. Behavioral & Brain Sciences, 21, 1-17.
31. SCHYNS, P. G., & MURPHY, G. L. (1994). The ontogeny of part representation in object concepts. In D. L. Medin (Ed.), The psychology of learning and motivation (Vol. 31, pp. 305-349). San Diego: Academic Press.
32. SCHYNS, P. G . & RODET, L. (1997). Categorization creates functional features. Journal of Experimental Psychology: Learning, Memory, & Cognition, 23, 681-696.
33. SMITH, E. E., & MEDIN, D. L. ( 1981 ). Categories and concepts. Cambridge, MA: Harvard University Press.
34. SPALDING, T. L., & FORD, M. A. (1998). Background knowledge and memory for category features. Manuscript submitted for publication.
35. SPALDING, T. L., & MURPHY. G. L. ( 1999). What is learned in knowledge-related categories? Evidence from typicality and feature frequency judgments. Memory & Cognition, 27, 856-867.
36. SPALDING, T. L., & PHILLIPS, V. L. (1998). What happens when features mismatch background knowledge about a category? Evidence from typicality, categorization, and recognition judgments. Manuscript submitted for publication.
37. SPALDING, T. L., & Ross, B. H. (1994). Comparison-based learning: Effects of comparing instances during category learning. Journal of Experimental Psychology: Learning, Memory, & Cognition, 20, 1251-1263.
38. THIBAUT, J.-P., & SCHYNS. P. G. (1995). The development of feature spaces for similarity and categorization. Psychologica Belgica, 35, 167-185.
39. WISNIEWSKI, E. (1995). Prior knowledge and functionally relevant features in concept learning. Journal of Experimental Psychology: Learning, Memory, & Cognition. 21, 449-468.
40. WISNIEWSKI, E., & MEDIN, D. L. ( 1991 ). Harpoons and long sticks: The interaction of theory and similarity in rule induction. In D. H. Fisher, M. J. Pazzani, & P. Langley (Eds.), Concept formation: Knowledge and experience in unsupervised learning (pp. 237-278). San Mateo, CA: Morgan Kaufman.
41. WISNIEWSKI, E., & MEDIN, D. L. (1994). On the interaction of theory and data in concept learning. Cognitive Science, 18, 221 -281.