Tests of the ratio rule in categorization

Quarterly Journal of Experimental Psychology Section A: Human Experimental Psychology

Volumn 53, Issue 4, 2000, Pages 983-1011

  Wills, A J ^a,b   Reimers, Stian ^a   Stewart, Neil ^a   Suret, Mark ^a   McLaren, I P L ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b UNIVERSITY OF EXETER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

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

ADULT; CHOICE BEHAVIOR; CONCEPT FORMATION; DISCRIMINATION LEARNING; FEMALE; HUMANS; MALE; PATTERN RECOGNITION, VISUAL; PROBABILITY LEARNING; PROBLEM SOLVING;

EID: 0034320279     PISSN: 02724987     EISSN: None     Source Type: Journal    
DOI: 10.1080/713755935     Document Type: Article

References (47)

1. Aitken, M.R.F. (1996). Peak shift in pigeon and human categorization. Unpublished PhD thesis, University of Cambridge, Cambridge, U.K.
2. Anderson, J.R. (1991). A rational analysis of categorization. Psychological Review, 98, 409-429.
3. Ashby, F.G., & Townsend, J.T. (1986). Varieties of perceptual independence. Psychological Review, 93(2), 154-179.
4. Bradley, R.A. (1954). Incomplete block rank analysis: On the appropriateness of the model for a method of paired comparison. Biometrics, 10, 375-390.
5. Burke, C.J., & Zinnes, J.L. (1965). A paired comparison of pair comparisons. Journal of Mathematical Psychology, 2, 53-76.
6. Clarke, F.R. (1957). Constant-ratio rule for confusion matricies in speech communication. Journal of the Acoustical Society of America, 29(6), 715-720.
7. Estes, W.K. (1994). Classification and cognition. Oxford: Oxford University Press.
8. Gluck, M.A., & Bower, G.H. (1988). From conditioning to category learning: An adaptive network model. Journal of Experimental Psychology: General, 117(3), 227-247.
9. Greenhouse, S.W., & Geisser, S. (1959). On methods in the analysis of profile data. Psychometrika, 24, 95-112.
10. Grossberg, S. (1976). Adaptive pattern classification and universal recoding: Part I. Parallel development and coding of neural feature detectors. Biological Cybernetics, 23, 121-134.
11. Hohle, R.H. (1966). An empirical evaluation and comparison of two models for discriminability scales. Journal of Mathematical Psychology, 3, 174-183.
12. Homa, D., Sterling, S., & Trepel, L. (1981). Limitations of exemplar-based generalization and the abstraction of categorical information. Journal of Experimental Psychology: Human Learning and Memory, 7, 418-439.
13. Hopkins, J.W. (1954). Incomplete block rank analysis: Some taste test results. Biometrics, 10, 391-399.
14. Houghton, G. (1990). The problem of serial order: A neural network model of sequence learning and recall. In R. Dale, C. Mellish, & M. Zock (Eds.), Current research in natural language generation. London: Academic Press.
15. Hull, C.L. (1920). Quantitative aspects of the evolution of concepts. Psychological Monographs, No. 123.
16. Jones, F.W., Wills, A.J., & McLaren, I.P.L. (1998). Perceptual categorization: Connectionist modelling and decision rules. Quarterly Journal of Experimental Psychology, 51B(3), 33-58.
17. Karpiuk, P., Jr., Lacouture, Y., & Marley, A.A.J. (1997). A limited capacity, wave equality, random walk model of absolute identification. In A.A.J. Marley (Ed.), Choice, decision and measurement. Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
18. Kruschke, J.K. (1992). ALCOVE: An exemplar-based connectionist model of category learning. Psychological Review, 99, 22-44.
19. Kruschke, J.K. (1996). Base rates in category learning. Journal of Experimental Psychology: Learning, Memory and Cognition, 22(1), 3-26.
20. Lacouture, Y., & Marley, A.A.J. (1991). A connectionist model of choice and reaction time in absolute identification. Connection Science, 3(4), 401-433.
21. Lamberts, K. (in press). Information-accumulation theory of speeded categorization. Psychological Review.
22. Logan, G.D. (1988). Towards an instance theory of automatization. Psychological Review, 95, 492-527.
23. Luce, R.D. (1959). Individual choice behavior. New York: John Wiley & Sons.
24. McClelland, J.L. (1979). On the time-relations of mental processes: An examination of systems of processes in cascade. Psychological Review, 86, 287-330.
25. McClelland, J.L., & Rumelhart, D.E. (1981). An interactive activation model of context effects in letter perception: Part I. An account of basic findings. Psychological Review, 88, 375-407.
26. McClelland, J.L., & Rumelhart, D.E. (1985). Distributed memory and the representation of general and specific information. Journal of Experimental Psychology: General, 114(2), 159-188.
27. Medin, D.L., & Schaffer, M.M. (1978). Context theory of classification learning. Psychological Review, 85(3), 207-238.
28. Nosofsky, R.M. (1986). Attention, similarity and the identification-categorisation relationship. Journal of Experimental Psychology: General, 115(1), 39-57.
29. Nosofsky, R.M., & Palmeri, T.J. (1997). An exemplar-based random walk model of speeded classification. Psychological Review, 104(2), 266-300.
30. Nosofsky, R.M., & Zaki, S.R. (1998). Dissociations between categorization and recognition in amnesiacs and normals: An exemplar-based interpretation. Psychological Science, 9(4), 247-255.
31. Page, M. (in press). Connectionist modelling in psychology: A localist manifesto. Behavioral and Brain Sciences.
32. Pearce, J.M. (1987). A model of stimulus generalization for Pavlovian conditioning. Psychological Review, 94, 61-73.
33. Pollack, I., & Decker, L. (1960). Consonant confusions and the Constant Ratio Rule. Language & Speech, 3, 1-6.
34. Posner, M.I., & Keele, S.W. (1968). On the genesis of abstract ideas. Journal of Experimental Psychology, 77(3), 353-363.
35. Ratcliff, R. (1978). A theory of memory retrieval. Psychological Review, 97, 285-308.
36. 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 research (pp. 64-99). New York: Appleton-Century-Crofts.
37. Restle, F. (1961). Psychology of judgement and choice. New York: Wiley.
38. Rumelhart, D.E., & Zipser, D. (1986). Feature discovery by competitive learning. In D.E. Rumelhart & J.L. McClelland (Eds.), Parallel distributed processing: Explorations in the microstructure of cognition (Vol. 1). Cambridge, MA: MIT Press.
39. Seidenberg, M.S., & McClelland, J.L. (1989). A distributed developmental model of word recognition and naming. Psychological Review, 96, 523-568.
40. Shepard, R.N. (1957). Stimulus and response generalization: A stochastic model relating generalization to distance in psychological space. Psychometrika, 22, 325-345.
41. Thurstone, L.L. (1927). A law of comparative judgement. Psychological Review, 34, 273-286.
42. Tversky, A. (1972). Elimination by aspects: A theory of choice. Psychological Review, 79(4), 281-299.
43. Usher, M., & McClelland, J.L. (1995). On the time course of perceptual choice: A model based on principles of neural computation (Tech. Rep. PDP.CNS.95.5). Carnegie Mellon University.
44. Wagner, A.R. (1981). SOP: A model of automatic memory processing in animal behavior. In N.E. Spear & R.R. Miller (Eds.), Information processing in animals: Memory mechanisms (pp. 5-47). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
45. Wills, A.J. (1998). Categorization: From features to decisions. Unpublished PhD thesis, Cambridge University, Cambridge, U.K.
46. Wills, A.J., & McLaren, I.P.L. (1997). Generalization in human category learning: A connectionist explanation of differences in gradient after discriminative and non-discriminative training. Quarterly Journal of Experimental Psychology, 50A(3), 607-630.
47. Yellott, J.I., Jr. (1977). The relationship between Luce's choice axiom, Thurstone's theory of comparative judgment, and the double exponential distribution. Journal of Mathematical Psychology, 15, 109-144.