Configural processes in human associative learning

Journal of Experimental Psychology: Learning Memory and Cognition

Volumn 24, Issue 6, 1998, Pages 1353-1378

  Shanks, David R ^a   Charles, David ^a   Darby, Richard J ^a,b   Azmi, Azwiyati ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF WARWICK   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0032328814     PISSN: 02787393     EISSN: None     Source Type: Journal    
DOI: 10.1037/0278-7393.24.6.1353     Document Type: Article

References (56)

1. Alvarado, M. C., & Rudy, J. W. (1992). Some properties of configural learning: An investigation of the transverse-patterning problem. Journal of Experimental Psychology: Animal Behavior Processes, 18, 145-153.
2. Bellingham, W. P., Gillette-Bellingham, K., & Kehoe, E. J. (1985). Summation and configuration in patterning schedules with the rabbit. Animal Learning and Behavior, 13, 152-164.
3. Chapman, G. B. (1991). Trial order affects cue interaction in contingency judgment. Journal of Experimental Psychology: Learning, Memory, and Cognition, 17, 837-854.
4. Dickinson, A., & Burke, J. (1996). Within-compound associations mediate the retrospective revaluation of causality judgements. Quarterly Journal of Experimental Psychology: Comparative and Physiological Psychology, 49(B), 60-80.
5. Edgell, S. E., & Castellan, N. J. (1973). The configural effect in multiple-cue probability learning. Journal of Experimental Psychology, 700, 310-314.
6. Erickson, M. A., & Kruschke, J. K. (1998). Rules and exemplars in category learning. Journal of Experimental Psychology: General, 127, 107-140.
7. Estes, W. K. (1994). Classification and cognition. Oxford, England: Oxford University Press.
8. French, R. M. (1992). Semi-distributed representations and catastrophic forgetting in connectionist networks. Connection Science, 4, 365-377.
9. Gluck, M. A. (1991). Stimulus generalization and representation in adaptive network models of category learning. Psychological Science, 2, 50-55.
10. Gluck, M. A., & Bower, G. H. (1988). Evaluating an adaptive network model of human learning. Journal of Memory and Language, 27, 166-195.
11. Holland, P. C. (1984). Differential effects of reinforcement of an inhibitory feature after serial and simultaneous feature negative discrimination training. Journal of Experimental Psychology: Animal Behavior Processes, 10, 461-475.
12. Kehoe, E. J. (1988). A layered network model of associative learning: Learning to learn and configuration. Psychological Review, 95, 411-433.
13. Kruschke, J. K. (1992). ALCOVE: An exemplar-based connectionist model of category learning. Psychological Review, 99, 22-44.
14. Kruschke, J. K. (1993). Human category learning: Implications for backpropagation models. Connection Science, 5, 3-36.
15. Kruschke, J. K. (1996). Base rates in category learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 22, 3-26.
16. Larkin, M. J. W., Aitken, M. R. F, & Dickinson, A. (1998). Retrospective revaluation of causal judgments under positive and negative contingencies. Journal of Experimental Psychology: Learning, Memory, and Cognition, 24, 1331-1352.
17. Lewandovvsky, S. (1995). Base-rate neglect in ALCOVE: A critical reevaluation. Psychological Review, 102, 185-191.
18. Lewandowsky, S., & Li, S.-C. (1995). Catastrophic interference in neural networks: Causes, solutions, and data. In F. N. Dempster & C. J. Brainerd (Eds.), Interference and inhibition in cognition (pp. 329-361). San Diego, CA: Academic Press.
19. Lipp, O. V, Siddle, D. A. T., & Dall, P. J. (1993). Effects of miscuing on Pavlovian conditioned responding and on probe reaction time. Australian Journal of Psychology, 45, 161-167.
20. Lopez, F. J., Shanks, D. R., Almaraz, J., & Fernández, P. (1998). Effects of trial order on contingency judgments: A comparison of associative and probabilistic contrast accounts. Journal of Experimental Psychology: Learning, Memory, and Cognition, 24, 672-694.
21. Mackintosh, N. J. (1975). A theory of attention: Variations in the associability of stimuli with reinforcement. Psychological Review, 82, 276-298.
22. McCloskey, M., & Cohen, N. J. (1989). Catastrophic interference in connectionist networks: The sequential learning problem. In G. H. Bower (Ed.), The psychology of learning and motivation (Vol. 24, pp. 109-165). San Diego, CA: Academic Press.
23. Medin, D. L., & Schwanenflugel, P. J. (1981). Linear separability in classification learning. Journal of Experimental Psychology: Human Learning and Memory, 7, 355-368.
24. Mellers, B. A. (1980). Configurality in multiple-cue probability learning. American Journal of Psychology, 93, 429-443.
25. Nosofsky, R. M., Gluck, M. A., Palmeri, T. J., McKinley, S. C., & Glauthier, P. (1994). Comparing models of rule-based classification learning: A replication and extension of Shepard, Hovland, and Jenkins (1961). Memory & Cognition, 22, 352-369.
26. Nosofsky, R. M., Kruschke, J. K., & McKinley, S. C. (1992). Combining exemplar-based category representations and connectionist learning rules. Journal of Experimental Psychology: Learning, Memory, and Cognition, 18, 211-233.
27. Nosofsky, R. M., Palmeri, T. J., & McKinley, S. C. (1994). Rule-plus-exception model of classification learning. Psychological Review, 101, 53-79.
28. Pearce, J. M. (1987). A model for stimulus generalization in Pavlovian conditioning. Psychological Review, 94, 61-73.
29. Pearce, J. M. (1994a). Discrimination and categorization. In N. J. Mackintosh (Ed.), Animal learning and cognition (pp. 109-134). San Diego, CA: Academic Press.
30. Pearce, J. M. (1994b). Similarity and discrimination: A selective review and a connectionist model. Psychological Review, 101, 587-607.
31. Pearce, J. M., & Hall, G. (1980). A model for Pavlovian conditioning: Variations in the effectiveness of conditioned but not of unconditioned stimuli. Psychological Review, 87, 532-552.
32. Pearce, J. M., & Wilson, P. N. (1991). Failure of excitatory conditioning to extinguish the influence of a conditioned inhibitor. Journal of Experimental Psychology: Animal Behavior Processes, 17, 519-529.
33. Posner, M. I. (1964). Information reduction in the analysis of sequential tasks. Psychological Review, 71, 491-504.
34. Ratcliff, R. (1990). Connectionist models of recognition memory: Constraints imposed by learning and forgetting functions. Psychological Review, 97, 285-308.
35. Regehr, G., & Brooks, L. R. (1993). Perceptual manifestations of an analytic structure: The priority of holistic individuation. Journal of Experimental Psychology: General, 122, 92-114.
36. Rescorla, R. A. (1973). Evidence for a "unique stimulus" account of configural conditioning. Journal of Comparative and Physiological Psychology, 85, 331-338.
37. Rescorla, R. A. (1985). Conditioned inhibition and facilitation. In R. R. Miller & N. E. Spear (Eds.), Information processing in animals: Conditioned inhibition (pp. 299-326). Hillsdale, NJ: Erlbaum.
38. Rescorla, R. A., Grau, J. W., & Durlach, P. J. (1985). Analysis of the unique cue in configural discriminations. Journal of Experimental Psychology: Animal Behavior Processes, 11, 356-366.
39. 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.
40. Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1986). Learning internal representations by error propagation. In D. E. Rumelhart & J. L. McClelland, Parallel distributed processing: Explorations in the microstructure of cognition. Vol. 1: Foundations (pp. 318-362). Cambridge, MA: MIT Press.
41. Saavedra, M. A. (1975). Pavlovian compound conditioning in the rabbit. Learning and Motivation, 6, 314-326.
42. Schyns, P. G., & Rodet, L. (1997). Categorization creates functional features. Journal of Experimental Psychology: Learning, Memory, and Cognition, 23, 681-696.
43. Shanks, D. R. (1985). Forward and backward blocking in human contingency judgement. Quarterly Journal of Experimental Psychology: Comparative and Physiological Psychology, 37(B), 1-21.
44. Shanks, D. R. (1990). Connectionism and the learning of probabilistic concepts. Quarterly Journal of Experimental Psychology: Human Experimental Psychology, 42(A), 209-237.
45. Shanks, D. R., & Darby, R. J. (1998). Feature- and rule-based generalization in human associative learning. Journal of Experimental Psychology: Animal Behavior Processes, 24, 405-415.
46. Shanks, D. R., Darby, R. J., & Charles, D. (1998). Resistance to interference in human associative learning: Evidence of configural processing. Journal of Experimental Psychology: Animal Behavior Processes, 24, 136-150.
47. Shanks, D. R., & Gluck, M. A. (1994). Tests of an adaptive network model for the identification and categorization of continuous-dimension stimuli. Connection Science, 6, 59-89.
48. Sharkey, N. E., & Sharkey, A. J. C. (1995). An analysis of catastrophic interference. Connection Science, 7, 301-329.
49. Shepard, R. N., Hovland, C. I., & Jenkins, H. M. (1961). Learning and memorization of classifications. Psychological Monographs, 75(13, Whole No. 517).
50. Van Hamme, L. J., & Wasserman, E. A. (1994). Cue competition in causality judgments: The role of nonpresentation of compound stimulus elements. Learning and Motivation, 25, 127-151.
51. Wagner, A. R., & Rescorla, R. A. (1972). Inhibition in Pavlovian conditioning: Application of a theory. In R. A. Boakes & M. S. Halliday (Eds.), Inhibition and learning (pp. 301-336). London: Academic Press.
52. Williams, D. A. (1995). Forms of inhibition in animal and human learning. Journal of Experimental Psychology: Animal Behavior Processes, 21, 129-142.
53. Williams, D. A. (1996). A comparative analysis of negative contingency learning in humans and nonhumans. In D. R. Shanks, K. J. Holyoak, & D. L. Medin (Eds.), The psychology of learning and motivation: Vol. 34. Causal learning (pp. 89-131). San Diego, CA: Academic Press.
54. Williams, D. A., & Docking, G. L. (1995). Associative and normative accounts of negative transfer. Quarterly Journal of Experimental Psychology: Human Experimental Psychology, 48 (A), 976-998.
55. 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.
56. Wilson, P. N., & Pearce, J. M. (1992). A configural analysis of feature-negative discrimination learning. Journal of Experimental Psychology: Animal Behavior Processes, 18, 265-272.