Error Discounting in Probabilistic Category Learning

Journal of Experimental Psychology: Learning Memory and Cognition

Volumn 37, Issue 3, 2011, Pages 673-687

  Craig, Stewart ^a   Lewandowsky, Stephan ^a   Little, Daniel R ^b  

^a UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

^b INDIANA UNIVERSITY   (United States)

Author keywords

Categorization; Error; Learning; Relevance shifts

Indexed keywords

ADAPTIVE BEHAVIOR; ANALYSIS OF VARIANCE; ARTICLE; ASSOCIATION; COMPUTER SIMULATION; CONCEPT FORMATION; DECISION MAKING; HUMAN; LEARNING; METHODOLOGY; PATTERN RECOGNITION; PHOTOSTIMULATION; PHYSIOLOGY; PROBABILITY; PSYCHOPHYSICS; REACTION TIME; STATISTICAL MODEL;

ANALYSIS OF VARIANCE; CHOICE BEHAVIOR; COMPUTER SIMULATION; CONCEPT FORMATION; CUES; FEEDBACK, PSYCHOLOGICAL; HUMANS; LINEAR MODELS; PATTERN RECOGNITION, VISUAL; PHOTIC STIMULATION; PROBABILITY; PROBABILITY LEARNING; PSYCHOPHYSICS; REACTION TIME; SERIAL LEARNING;

EID: 79955726046     PISSN: 02787393     EISSN: None     Source Type: Journal    
DOI: 10.1037/a0022473     Document Type: Article

References (51)

1. Amari S. Theory of adaptive pattern classifiers. IEEE Transcriptions in Electronic Computers 1967, 16:299-307.
2. Baayen R.H., Davidson D.J., Bates D.M. Mixed-effects modeling with crossed random effects for subjects and items. Journal of Memory and Language 2008, 59:390-412.
3. Bishop C.M. Pattern recognition and machine learning 2006, Springer, New York, NY.
4. Brainard D.H. The Psychophysics Toolbox. Spatial Vision 1997, 10:433-436.
5. Chater N., Tenenbaum J.B., Yuille A. Probabilistic models of cognition: Conceptual foundations. Trends in Cognitive Science 2006, 10:287-291.
6. Edgell S.E. Delayed exposure to configural information in nonmetric multiple-cue probability learning. Organizational Behavior and Human Decision Processes 1983, 32:55-65.
7. Edgell S.E., Morrissey J.M. Delayed exposure to additional relevant information in nonmetric multiple-cue probability learning. Organizational Behavior and Human Decision Processes 1987, 40:22-38.
8. Erickson M.A., Kruschke J.K. Rules and exemplars in category learning. Journal of Experimental Psychology: General 1998, 127:107-140.
9. Erickson M.A., Kruschke J.K. Rule-based extrapolation in perceptual categorization. Psychonomic Bulletin & Review 2002, 9:160-168.
10. Estes W.K. Global and local control of choice behavior by cyclically varying outcome probabilities. Journal of Experimental Psychology: Learning, Memory, & Cognition 1984, 10:258-270.
11. Estes W.K., Straughn J.H. Analysis of a verbal conditioning situation in terms of statistical learning theory. Journal of Experimental Psychology 1954, 47:225-234.
12. Fantino E., Esfandiari A. Probability matching: Encouraging optimal responding in humans. Canadian Journal of Experimental Psychology 2002, 56:58-63.
13. Farrell S., Lewandowsky S. A connectionist model of complacency and adaptive recovery under automation. Journal of Experimental Psychology: Learning, Memory, & Cognition 2000, 26:395-410.
14. Friedman D., Massaro D.W. Understanding variability in binary and continuous choice. Psychonomic Bulletin & Review 1998, 5:370-389.
15. Friedman M.P., Burke C.J., Cole M., Kellyer L., Millward R.B., Estes W.K. Two-choice behaviour under extended training with shifting probabilities. Studies in mathematical psychology 1964, 250-316. Stanford University Press, Palo Alto, CA. R.C. Atkinson (Ed.).
16. Gigerenzer G., Todd P.M. Simple heuristics that make us smart 1999, the ABC. Research Group, Oxford University Press, New York, NY.
17. Gluck M.A., Bower G.H. Evaluating an adaptive network model of human learning. Journal of Memory and Language 1988, 27:166-195.
18. Gluck M.A., Bower G.H. From conditioning to category learning: An adaptive network model. Journal of Experimental Psychology: General 1988, 117:227-247.
19. Goldstein D.G., Gigerenzer G. The recognition heuristic: How ignorance makes us smart. Simple heuristics that make us smart 1999, 37-58. Oxford University Press, New York, NY. G. Gigerenzer, P.M. Todd, the ABC Research Group (Eds.).
20. Goldstein D.G., Gigerenzer G. Models of ecological rationality: The recognition heuristic. Psychological Review 2002, 109:75-90.
21. Heskes T.M., Kappen B. Learning process in neural networks. Physical Review A 1991, 44:2718-2726.
22. Histed M.H., Pasupathy A., Miller E.K. Learning substrates in the primate prefrontal cortex and striatum: Sustained activity related to successful actions. Neuron 2009, 63:244-253.
23. Jones M., Love B.C., Maddox W.T. Recency effects as a window to generalization: Separating decisional and perceptual sequential effects in category learning. Journal of Experimental Psychology: Learning, Memory, & Cognition 2006, 32:316-332.
24. Juslin P., Jones S., Olsson H., Winman A. Cue abstraction and exemplar memory in categorization. Journal of Experimental Psychology: Learning, Memory, and Cognition 2003, 29:924-941.
25. Kalish M.L., Kruschke J.K. Decision boundaries in one-dimensional categorization. Journal of Experimental Psychology: Learning, Memory, and Cognition 1997, 23:1362-1377.
26. Kamin L.J. Predictability, surprise, attention, and conditioning. Punishment and aversive behavior 1969, 279-296. Appleton-Century-Crofts, New York, NY. B.A. Campbell, R.M. Church (Eds.).
27. Kerstholt J.H., Passenier P.O. Fault management in supervisory control: The effect of false alarms and support. Ergonomics 2000, 43:1371-1389.
28. Kruschke J.K. ALCOVE: An exemplar-based connectionist model of category learning. Psychological Review 1992, 99:22-44.
29. Kruschke J.K., Blair N.J. Blocking and backward blocking involve learned inattention. Psychonomic Bulletin & Review 2000, 7:636-645.
30. Kruschke J.K., Johansen M.K. A model of probabilistic category learning. Journal of Experimental Psychology: Learning, Memory, and Cognition 1999, 25:1083-1119.
31. Lewandowsky S., Mundy M., Tan G.P.A. The dynamics of trust: Comparing humans to automation. Journal of Experimental Psychology: Applied 2000, 6:104-123.
32. Little D.R., Lewandowsky S. Better learning with more error: Probabilistic feedback increases sensitivity to correlated cues in categorization. Journal of Experimental Psychology: Learning, Memory, & Cognition 2009, 35:1041-1061.
33. Little D.R., Lewandowsky S. Beyond non-utilization: Irrelevant cues can gate learning in probabilistic categorization. Journal of Experimental Psychology: Human Perception & Performance 2009, 35:530-550.
34. Lorenz B., Parasuraman R. Automated and interactive real-time systems. Handbook of applied cognition 2007, 415-441. Wiley, Chichester, England. F.T. Durso, R. Nickerson, S. Dumais, S. Lewandowsky, T. Perfect (Eds.).
35. McKinley S.C., Nosofsky R.M. Investigations of exemplar and decision bound models in large, ill-defined category structures. Journal of Experimental Psychology: Human Perception and Performance 1995, 21:128-148.
36. Moray N. Industrial systems. Handbook of applied cognition 2007, 281-305. Wiley, Chichester, England. F.T. Durso, R. Nickerson, S. Dumais, S. Lewandowsky, T. Perfect (Eds.).
37. Murata N., Kawanabe M., Ziehe A., Müller K.-R., Amari S. On-line learning in changing environments with applications to supervised and unsupervised learning. Neural Networks 2002, 15:743-760.
38. Myung I.-J., Pitt M.A. Model comparison methods. Methods in Enzymology 2004, 383:351-366.
39. Nosofsky R.M. Attention, similarity, and the identification-categorization relationship. Journal of Experimental Psychology: General 1986, 115:39-57.
40. Parasuraman R., Riley V. Humans and automation: Use, misuse, disuse, abuse. Human Factors 1997, 39:230-253.
41. Pelli D.G. The Video Toolbox software for visual psychophysics: Transforming numbers into movies. Spatial Vision 1991, 10:437-442.
42. Rescorla R.A., Wagner A.R. A theory of Pavlovian conditioning: Variations in the effectiveness of reinforcement and nonreinforcement. Classical conditioning: II. Current research and theory 1972, 64-99. Appleton-Century-Crofts, New York, NY. A.H. Black, W.F. Prokasky (Eds.).
43. Rouder J.N., Ratcliff R. Comparing categorization models. Journal of Experimental Psychology: General 2004, 133:63-82.
44. Rumelhart D.E., Hinton G.B., Williams R.J. Learning internal representations by back-propagation errors. Parallel distributed processing: Explorations in the microstructure of cognition 1986, 1:318-362. MIT Press, Cambridge, MA. D.E. Rumelhart, J.L. McClelland (Eds.).
45. Shanks D.R., Tunney R.J., McCarthy J.D. A re-examination of probability matching and rational choice. Journal of Behavioral Decision Making 2002, 15:233-250.
46. Smith T.A., Kimball D.R. Learning from feedback: Spacing and delay-retention effects. Journal of Experimental Psychology: Learning, Memory, & Cognition 2010, 36:80-95.
47. Stewart N., Brown G.D.A. Sequence effects in the categorization of tones varying in frequency. Journal of Experimental Psychology: Learning, Memory, and Cognition 2004, 30:416-430.
48. Stewart N., Brown G.D.A., Chater N. Sequence effects in categorization of simple perceptual stimuli. Journal of Experimental Psychology: Learning, Memory, and Cognition 2002, 28:3-11.
49. Tversky A., Kahneman D. Judgment under uncertainty: Heuristics and biases. Science 1974, September 27, 185:1124-1131.
50. Wickens C. Aviation. Handbook of applied cognition 2007, 361-389. Wiley, Chichester, England. F.T. Durso, R. Nickerson, S. Dumais, S. Lewandowsky, T. Perfect (Eds.).
51. Yelen D.R., Yelen D. The overtraining reversal effect in a probability learning situation. Psychonomic Science 1969, 14:152.