Unsupervised concept learning and value systematicity: A complex whole aids learning the parts

Journal of Experimental Psychology: Learning Memory and Cognition

Volumn 22, Issue 2, 1996, Pages 458-475

  Billman, Dorrit ^a   Knutson, James ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; ATTENTION; CONCEPT FORMATION; DISCRIMINATION LEARNING; FEMALE; HUMAN; LEARNING; MALE; PATTERN RECOGNITION; PROBLEM SOLVING;

ADULT; ASSOCIATION LEARNING; ATTENTION; CONCEPT FORMATION; DISCRIMINATION LEARNING; FEMALE; HUMANS; MALE; PATTERN RECOGNITION, VISUAL; PROBLEM SOLVING;

EID: 0030093374     PISSN: 02787393     EISSN: None     Source Type: Journal    
DOI: 10.1037/0278-7393.22.2.458     Document Type: Article

References (56)

1. Anderson, J. R. (1991). The adaptive nature of human categorization. Psychological Review, 98, 409-429.
2. Barsalou, L. W., & Billman, D. (1988). Systematicity and semantic ambiguity. In D. S. Gorfein (Ed.), Resolving semantic ambiguity (pp. 146-203). New York: Springer-Verlag.
3. Billman, D. (1989). Systems of correlations in rule and category learning: Use of structured input in learning syntactic categories. Language and Cognitive Processes, 4, 127-155.
4. Billman, D. (1992). Modeling category learning and category use: Representation and processing. In B. Burns (Ed.), Percepts, concepts, and categories: The representation and processing of information (pp. 414-448). New York: Elsevier Science.
5. Billman, D., Bornstein, B., & Richards, J. (1992). Effects of expectancy on assessing covariation in data: "Prior belief" versus "meaning." Organizational Behavior and Human Decision Processes, 53, 74-88.
6. Billman, D., & Heit, E. (1988). Observational learning from internal feedback: A simulation of an adaptive learning method. Cognitive Science, 12, 587-625.
7. Billman, D., Heit, E., & Dorfman, J. (1987). Facilitation from clustered features: Using correlations in observation learning. In Proceedings of the ninth annual conference of the Cognitive Science Society (pp. 58-69). Hillsdale, NJ: Erlbaum.
8. Brooks, L. (1978). Nonanalytic concept formation and memory for instances. In E. Rosch & B. B. Lloyd (Eds.), Cognition and categorization (pp. 170-215). Hillsdale, NJ: Erlbaum.
9. Brunswick, E. (1955). Symposium on the probability approach in psychology: Representative design and probabilistic theory in a functional psychology. Psychological Review, 12, 103-217.
10. Cabrera, A., & Billman, D. (1996). Language-driven concept learning: Deciphering Jabberwocky. Journal of Experimental Psychology: Learning, Memory, and Cognition, 22, 539-555.
11. Chalnick, A., & Billman, D. (1988). Unsupervised learning of correlational structure. In Program of the 10th annual conference of the Cognitive Science Society (pp. 510-516). Hillsdale, NJ: Erlbaum.
12. Chapman, L. J., & Chapman, J. P. (1967). Genesis of popular but erroneous diagnostic observations. Journal of Abnormal Psychology, 72, 193-204.
13. Chapman, L. J., & Chapman, J. P. (1969). Illusory correlation as an obstacle to the use of valid psychodiagnostic signs. Journal of Abnormal Psychology, 74, 271-280.
14. Chapman, G. B., & Robbins, S. J. (1990). Cue interaction in human contingency judgment. Memory & Cognition, 18, 537-545.
15. Fisher, D. (1987). Knowledge acquisition via incremental conceptual clustering. Machine Learning, 2, 139-172.
16. Fried, L., & Holyoak, K. J. (1984). Induction of category distributions: A framework for classification learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 10, 239-257.
17. Garcia, J., Hawkins, W. G., & Rusiniak, K. W. (1974). Behavioral regulation of the milieu interne in man and rat. Science, 185, 824-831.
18. Garner, W. R. (1974). The processing of information and structure. Potomac, MD: Erlbaum.
19. Gluck, M. A., & Bower, G. H. (1988). Evaluating an adaptive network model of human learning. Journal of Memory and Language, 27, 166-195.
20. Goodman, N. (1983). Fact, fiction, and forecast (4th ed.). Cambridge, MA: Harvard University Press.
21. Hayes-Roth, B., & Hayes-Roth, F. (1977). Concept learning and the recognition and classification of exemplars. Journal of Verbal Learning and Verbal Behavior, 16, 321-338.
22. Heit, E. (1992). Categorization using chains of examples. Cognitive Psychology, 24, 341-380.
23. Hintzman, D. L. (1986). Schema abstraction in a multiple-trace memory model. Psychological Review, 93, 411-428.
24. Holland, J. H., Holyoak, K. J., Nisbett, R. E., & Thagard, P. R. (1986). Induction. Cambridge, MA: MIT Press.
25. Homa, D., & Cultice, J. (1984). Role of feedback, category size, and stimulus distortion on the acquisition and utilization of ill-defined categories. Journal of Experimental Psychology: Learning, Memory, and Cognition, 10, 83-94.
26. Keil, F. C. (1979). Semantic and conceptual development: An ontological perspective. Cambridge, MA: Harvard University Press.
27. Kersten, A., & Billman, D. (1992). The role of correlational structure in learning event categories. In Program of the 14th annual conference of the Cognitive Science Society (pp. 432-437). Hillsdale, NJ: Erlbaum.
28. Kersten, A., & Billman, D. (1994). Learning of event categories. Unpublished manuscript.
29. Kruschke, J. K. (1992). ALCOVE: An exemplar-based connectionist model of category learning. Psychological Review, 99, 22-44.
30. Malt, B. C., & Smith, E. E. (1983). Correlated properties in natural categories. Journal of Verbal Learning and Verbal Behavior, 8, 828-835.
31. Martin, J. D. (1992). Direct and indirect transfer: Investigations in concept formation (Tech. Rep. No. GITAI-92-58). Atlanta, GA: Georgia Institute of Technology, Department of Computer Science.
32. Martin, J. D., & Billman, D. (1994). Acquiring and combining overlapping concepts. Machine Learning, 16, 121-155.
33. Medin, D. L. (1983). Structural principles in categorization. In T. J. Tighe & B. E. Shepp, (Eds.), Perception, cognition, and development: Interactional analyses (pp. 203-229).
34. 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.
35. Medin, D. L., Goldstone, R. L., & Gentner, D. (1993). Respects for similarity. Psychological Review, 100, 254-278.
36. Medin, D. L., & Schaffer, M. M. (1978). A context theory of classification learning. Psychological Review, 85, 207-238.
37. Medin, D. L., & Schwanenflugel, P. L. (1981). Linear separability in classification learning. Journal of Experimental Psychology: Human Learning and Memory, 7, 355-368.
38. Moeser, S. D., & Bregman, A. S. (1972). The role of reference in the acquisition of a miniature artificial language. Journal of Verbal Learning and Verbal Behavior, 11, 759-769.
39. Morgan, J. L., & Newport, E. L. (1981). The role of constituent structure in the induction of an artificial language. Journal of Verbal Learning and Verbal Behavior, 20, 67-86.
40. Murphy, G. L., & Medin, D. L. (1985). The role of theories in conceptual coherence. Psychological Review, 92, 289-316.
41. Murphy, G. L., & Wisniewski, E. J. (1989). Feature correlations in conceptual representations. In G. Tiberghien (Ed.), Advances in cognitive science: Vol 2. Theory and application (pp. 23-45). Englewood Cliffs, NJ: Prentice Hall.
42. Nosofsky, R. M. (1984). Choice, similarity, and the context model of classification. Journal of Experimental Psychology: Learning, Memory, and Cognition, 10, 104-114.
43. Pazzani, M. J. (1991). Influence of prior knowledge on concept acquisition: Experimental and computational results. Journal of Experimental Psychology: Learning, Memory, and Cognition, 17, 416-432.
44. Reber, A. S. (1969). Transfer of syntactic structure in synthetic languages. Journal of Experimental Psychology, 81, 115-119.
45. Reed, S. K. (1972). Pattern recognition and categorization. Cognitive Psychology, 3, 383-407.
46. Rosch, E. H. (1978). Principles of categorization. In E. H. Rosch & B. B. Lloyd (Eds.), Cognition and categorization (pp. 28-48). Hillsdale, NJ: Erlbaum.
47. Rumelhart, D. E., & Zipser, D. (1986). Feature discovery by competitive learning. In D. E. Rumelhart & J. L. McClelland (Eds.), Parallel distributed processing (Vol. 1, pp. 151-193). Cambridge, MA: MIT Press.
48. Schyns, P. G. (1991). A modular neural network model of concept acquisition. Cognitive Science, 15, 461-508.
49. Shanks, D. R. (1985). Forward and backward blocking in human contingency judgment. Quarterly Journal of Experimental Psychology: Human Experimental Psychology, 37(B), 1-21.
50. Shipley, E. F. (1993). Categories, hierarchies, and induction. The Psychology of Learning and Motivation, 30, 265-301.
51. Trabasso, T., & Bower, G. H. (1968). Attention in learning. New York: Wiley.
52. Waldman, M. R., & Holyoak, K. J. (1992). Predictive and diagnostic learning within causal models: Asymmetries in cue competition. Journal of Experimental Psychology: General, 121, 222-236.
53. Wattenmaker, W. D. (1991). Learning modes, feature correlations, and memory-based categorization. Journal of Experimental Psychology: Learning, Memory, and Cognition, 17, 908-923.
54. Wattenmaker, W. D. (1992). Relational properties and memory-based category construction. Journal of Experimental Psychology: Learning, Memory, and Cognition, 18, 1125-1138.
55. Wattenmaker, W. D. (1993). Incidental concept learning, feature frequency, and correlated properties. Journal of Experimental Psychology: Learning, Memory, and Cognition, 19, 203-222.
56. Wattenmaker, W. D., Dewey, G. I., Murphy, T. D., & Medin, D. L. (1986). Linear separability and concept learning: Context, relational properties, and concept naturalness. Cognitive Psychology, 18, 158-194.