Modelling the dynamics of visual classification learning

Mathematical social sciences

Volumn 38, Issue 3, 1999, Pages 295-313

  Unzicker, Alexander ^a   Jüttner, Martin ^a   Rentschler, Ingo ^a  

^a UNIVERSITY OF MUNICH   (Germany)

Author keywords

Classification learning; Cognitive stereotypes; Dynamics; Virtual prototype

Indexed keywords

EID: 0033228865     PISSN: 01654896     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-4896(99)00022-0     Document Type: Article

References (44)

1. Ahmed, N., Rao, K.R., 1975. Orthogonal Transforms for Digital Signal Processing, Springer, Berlin.
2. Allen, S.W., Brooks, L.R., 1991. Specializing the operation of an explicit rule. Journal of Experimental Psychology: General 120, 3-19.
3. Ashby, F.G., 1992. Multidimensional models of categorization. In: Ashby, F.G. (Ed.), Multidimensional Models of Perception and Cognition, Erlbaum, Hillsdale, NJ, pp. 449-483.
4. Ashby, F.G., Maddox, W.T., 1992. Complex decision rules in categorization: Contrasting novice and experienced performance. Journal of Experimental Psychology: Human Perception and Performance 18, 50-71.
5. Brooks, L., 1978. Nonanalytic concept formation and memory for instances. In: Rosch, E., Lloyd, B.B. (Eds.), Cognition and Categorization, Erlbaum, Hillsdale, NJ, pp. 170-211.
6. Bruner, J., 1957. On perceptual readiness. Psychological Review 64, 123-157.
7. Caelli, T., Dreier, A., 1994. Variations on the evidence-based object recognition theme. Pattern Recognition 27, 185-204.
8. Caelli, T., Pennington, A., 1993. An improved rule generation method for evidence-based classification systems. Pattern Recognition 26, 733-740.
9. Duda, R.O., Hart, P.E., 1973. Pattern Classification and Scene Analysis, Wiley, New York.
10. Estes, W.K., 1986a. Array models for category learning. Cognitive Psychology 18, 500-549.
11. Estes, W.K., 1986b. Storage and retrieval processes in category learning. Journal of Experimental Psychology: General 115, 155-174.
12. Estes, W.K., 1989. Early and late memory processing in models for category learning. In: Izawa, C. (Ed.), Current Issues in Cognitive Processes: The Tulane Flowerree Symposium on Cognition, Erlbaum, Hillsdale, NJ, pp. 11-24.
13. Estes, W.K., 1994. Classification and Cognition, Oxford University Press, New York.
14. Flannagan, M.J., Fried, L.S., Holyoak, K.J., 1986. Distributed expectations and the induction of category structure. Journal of Experimental Psychology: Learning, Memory and Cognition 12, 241-256.
15. Fried, L.S., Holyoak, K.J., 1984. Induction of category distributions: A framework for classification learning. Journal of Experimental Psychology: Learning, Memory and Cognition 10, 234-257.
16. Gauss, C.F., 1963. Theoria motus (1809), English translation: Theory of the Motion of the Heavenly Bodies about the Sun in the Conic Sections, Dover, New York.
17. Gelb, A., 1974. Applied Optimal Estimation, MIT Press, Cambridge, MA.
18. Gluck, M.A., Bower, G.H., 1988. From conditioning to category learning: An adaptive network model. Journal of Experimental Psychology: General 117, 225-244.
19. Jüttner, M., Rentschler, I., 1996. Reduced perceptual dimensionality in extrafoveal vision. Vision Research 36, 1007-1021.
20. Jüttner, M., Caelli, T., Rentschler, I, 1997. Evidence-based pattern classification: A structural approach to human perceptual learning and generalization. Journal of Mathematical Psychology 41, 244-259.
21. Kruschke, J.K., 1992. ALCOVE: An exemplar-based connectionist model of category learning. Psychological Review 99, 22-44.
22. Marr, D., Hildreth, E., 1980. Theory of edge detection. Proceedings Royal Society of London Series B 207, 187-216.
23. McClelland, J.L., Rumelhart, D.E., 1985. Distributed memory and the representation of general and specific information. Journal of Experimental Psychology: General 114, 159-188.
24. Medin, D.L., Schaffer, M.N., 1978. Context theory of classification learning. Psychological Review 85, 207-238.
25. Nelder, J., Mead, R., 1965. A simplex method for function minimization. Computer Journal 7, 308-313.
26. Norman, M.F., 1972. Markov Processes and Learning Models, Academic Press, New York.
27. Nosofsky, R.M., 1986. Attention, similarity, and the identification-categorization relationship. Journal of Experimental Psychology: General 115, 39-57.
28. Nosofsky, R.N., Kruschke, J.K., McKinley, S., 1992. Combining exemplar-based category representations and connectionist learning rules. Journal of Experimental Psychology: Learning, Memory and Cognition 18, 211-233.
29. Olzack, L.A., Thomas, J.P., 1986. Seeing spatial patterns. In: Boff, K.R., Kauffman, L., Thomas, J.P. (Eds.), Handbook of Perception and Human Performance, Sensory Processes and Perception (Chap. 7, Vol. 1, Wiley, New York.
30. Posner, M.I., Keele, S.W., 1968. On the genesis of abstract ideas. Journal of Experimental Psychology 77, 353-363.
31. Posner, M.I., Keele, S.W., 1970. Retention of abstract ideas. Journal of Experimental Psychology 83, 304-308.
32. Reed, S.K., 1972. Pattern recognition and categorization. Cognitive Psychology 3, 382-407.
33. 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.
34. Rentschler, I., Jüttner, M., Caelli, T., 1993. Ideal observers for supervised learning and classification. In: Steyer, R., Wender, K.F., Widamann, K.F. (Eds.), Psychometric Methodology, Fischer, Stuttgart, pp. 40-45.
35. Rentschler, I., Jüttner, M., Caelli, T., 1994. Probabilistic analysis of human supervised learning and classification. Vision Research 34, 669-687.
36. Rosch, E., 1978. Principles of categorization. In: Rosch, E., Lloyd, B.B. (Eds.), Cognition and Categorization, Erlbaum, Hillsdale, NJ.
37. Shanks, D.R., John, M.F., 1994. Characteristics of dissociable human learning systems. Behavioral and Brain Sciences 17, 367-447.
38. Strasburger, H., Harvey, Jr L.O., 1991., I. Rentschler, Contrast thresholds for identification of numeric characters in direct and eccentric view. Perception and Psychophysics 49, 495-508.
39. Strasburger, H., Rentschler, I., 1996. Contrast-dependent dissociation of visual recognition and detection fields. European Journal of Neuroscience 8, 1787-1791.
40. Thomas, J.P., 1985. Detection and identification: How are they related? Journal of the Optical Society of America A2, 1457-1467.
41. Thompson, J.R., Tapia, R.A., 1990. Nonparametric Function Estimation, Modelling, and Simulation, SIAM, Philadelphia.
42. Unzicker, A., Jüttner, M., Rentschler, I., 1998. Similarity-based models of visual classification. Vision Research. 38, 2289-2305.
43. Watanabe, S., 1985. Pattern Recognition, John Wiley, New York.
44. Wickens, T.D., 1982. Models of Behaviour, Freeman, San Francisco.