Doomed to repeat the successes of the past: History is best forgotten for repeated choices with nonstationary payoffs

Memory and Cognition

Volumn 37, Issue 7, 2009, Pages 985-1000

  Rakow, Tim ^a   Miler, Katherine ^a  

^a UNIVERSITY OF ESSEX   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; ASSOCIATIVE MEMORY; CONTROLLED STUDY; DECISION MAKING; EXPERIMENTAL DESIGN; FEEDBACK SYSTEM; FEMALE; HIGH RISK BEHAVIOR; HUMAN; HUMAN EXPERIMENT; INFORMATION; MALE; NORMAL HUMAN; OUTCOME ASSESSMENT; PROBABILITY; TASK PERFORMANCE;

ADOLESCENT; CHOICE BEHAVIOR; DECISION MAKING; EXTINCTION, PSYCHOLOGICAL; FEEDBACK, PSYCHOLOGICAL; FEMALE; GAMBLING; HUMANS; MALE; MENTAL RECALL; MOTIVATION; PROBABILITY LEARNING; RISK-TAKING; YOUNG ADULT;

EID: 70349750203     PISSN: 0090502X     EISSN: None     Source Type: Journal    
DOI: 10.3758/MC.37.7.985     Document Type: Article

References (52)

1. ANDERSON, N. H., & SHANTEAU, J. C. (1970). Information integration in risky decision making. Journal of Experimental Psychology, 84, 441-451.
2. AYTON, P., & FISCHER, I. (2004). The hot-hand fallacy and the gambler's fallacy: Two faces of subjective randomness? Memory & Cognition, 32, 1369-1378.
3. BARRON, G., & EREV, I. (2003). Small feedback-based decisions and their limited correspondence to description-based decisions. Journal of Behavioral Decision Making, 16, 215-233. (Pubitemid 36860718)
4. BEREBY-MEYER, Y., & EREV, I. (1998). On learning to become a successful loser: A comparison of alternative abstractions of learning processes in the loss domain. Journal of Mathematical Psychology, 42, 266-286.
5. BIELE, G., RIESKAMP, J., & GONZALEZ, R. (2009). Computational models for the combination of advice and individual learning. Cognitive Science, 33, 206-242.
6. BIRNBAUM, M. H., & NAVARRETE, J. B. (1998). Testing descriptive utility theories: Violations of stochastic dominance and cumulative independence. Journal of Risk & Uncertainty, 17, 49-79.
7. BULL, C., YATES, R., SARKAR, D., DEANFIELD, J., & DE LEVAL, M. (2000). Scientific, ethical, and logistical considerations in introducing a new operation: A retrospective cohort study from paediatric cardiac surgery. British Medical Journal, 320, 1168-1173.
8. BUSEMEYER, J. R., & MYUNG, I. J. (1992). An adaptive approach to human decision making: Learning theory, decision theory, and human performance. Journal of Experimental Psychology: General, 121, 177-194.
9. BUSEMEYER, J. R., & TOWNSEND, J. T. (1993). Decision field theory: A dynamic-cognitive approach to decision making in an uncertain environment. Psychological Review, 100, 432-459.
10. BUSH, R. R., & MOSTELLER, F. (1955). Stochastic models for learning. Oxford: Wiley.
11. DE LEVAL, M. R., FRANÇOIS, K., BULL, C., BRAWN, W., & SPIEGELHALTER, D. (1994). Analysis of a cluster of surgical failures: Application to a series of neonatal arterial switch operations. Journal of Thoracic & Cardiovascular Surgery, 107, 914-924.
12. DENRELL, J., & MARCH, J. G. (2001). Adaptation as information restriction: The hot stove effect. Organization Science, 12, 523-538. (Pubitemid 33356311)
13. EBBESON, E. B., & KONECNI, V. J. (1975). Decision making and information integration in the courts: The setting of bail. Journal of Personality & Social Psychology, 32, 805-821.
14. EREV, I., & BARRON, G. (2005). On adaptation, maximization, and reinforcement learning among cognitive strategies. Psychological Review, 112, 912-931. (Pubitemid 41677523)
15. FANTINO, E., & ESFANDIARI, A. (2002). Probability matching: Encouraging optimal responding in humans. Canadian Journal of Experimental Psychology, 56, 58-63.
16. FRIEDMAN, D., & MASSARO, D. W. (1998). Understanding variability in binary and continuous choice. Psychonomic Bulletin & Review, 5, 370-389.
17. GAISSMAIER, W., & SCHOOLER, L. J. (2008). The smart potential behind probability matching. Cognition, 109, 416-422.
18. GAISSMAIER, W., SCHOOLER, L. J., & RIESKAMP, J. (2006). Simple predictions fueled by capacity limitations: When are they successful? Journal of Experimental Psychology: Learning, Memory, & Cognition, 32, 966-982.
19. GILOVICH, T., VALLONE, R. P., & TVERSKY, A. (1985). The hot hand in basketball: On the misperception of random sequences. Cognitive Psychology, 17, 295-314.
20. GONZALEZ-VALLEJO, C. (2002). Making trade-offs: A probabilistic and context-sensitive model of choice behavior. Psychological Review, 109, 137-155.
21. GOODNOW, J. J. (1955). Determinants of choice-distribution in two-choice situations. American Journal of Psychology, 68, 106-116.
22. HARVEY, N., & FISCHER, I. (1997). Taking advice: Accepting help, improving judgment, and sharing responsibility. Organizational Behavior & Human Decision Processes, 70, 117-133.
23. HAU, R., PLESKAC, T. J., KIEFER, J., & HERTWIG, R. (2008). The description-experience gap in risky choice: The influence of sample size and experienced probabilities. Journal of Behavioral Decision Making, 21, 493-518.
24. HERTWIG, R., BARRON, G., WEBER, E. U., & EREV, I. (2004). Decisions from experience and the effect of rare events in risky choice. Psychological Science, 15, 534-539.
25. HOGARTH, R. M., & EINHORN, H. J. (1992). Order effects in belief updating: The belief-adjustment model. Cognitive Psychology, 24, 1-55.
26. HUMPHREYS, L. G. (1939). Acquisition and extinction of verbal expectations in a situation analogous to conditioning. Journal of Experimental Psychology, 25, 294-301.
27. JESSUP, R. K., BISHARA, A. J., & BUSEMEYER, J. R. (2008). Feedback produces divergence from prospect theory in descriptive choice. Psychological Science, 19, 1015-1021.
28. KAHNEMAN, D., & TVERSKY, A. (1979). Prospect theory: An analysis of decisions under risk. Econometrica, 47, 263-291.
29. KAREEV, Y., LIEBERMAN, I., & LEV, M. (1997). Through a narrow window: Sample size and the perception of correlation. Journal of Experimental Psychology: General, 126, 278-287. (Pubitemid 127117733)
30. KATZ, L. (1964). Effects of differential monetary gain and loss on sequential two-choice behavior. Journal of Experimental Psychology, 68, 245-249.
31. KEREN, G., & LEWIS, C. (1994). The two fallacies of gamblers: Type I and Type II. Organizational Behavior & Human Decision Processes, 60, 75-89.
32. KUNADIAN, B., DUNNING, J., ROBERTS, A. P., MORLEY, R., TWOMEY, D., HALL, J. A., et al. (2008). Cumulative funnel plots for the early detection of interoperator variation: Retrospective database analysis of observed versus predicted results of percutaneous coronary intervention. British Medical Journal, 336, 931-934. doi:10.1136/bmj.39512.529120.BE
33. LURIA, A. R. (1987). The mind of a mnemonist. Cambridge, MA: Harvard University Press. (Original work published 1968)
34. MYERS, J. L., & SADLER, E. (1960). Effects of range of payoffs as a variable in risk taking. Journal of Experimental Psychology, 60, 306-309.
35. NEWELL, B. R., LAGNADO, D. A., & SHANKS, D. R. (2007). Straight choices: The psychology of decision making. New York: Psychology Press.
36. NEWELL, B. R., & RAKOW, T. (2007). The role of experience in decisions from description. Psychonomic Bulletin & Review, 14, 1133-1139.
37. PETERSON, C. R., & ULEHLA, Z. J. (1965). Sequential patterns and maximizing. Journal of Experimental Psychology, 69, 1-4.
38. RAKOW, T., DEMES, K. A., & NEWELL, B. R. (2008). Biased samples not mode of presentation: Re-examining the apparent underweighting of rare events in experience-based choice. Organizational Behavior & Human Decision Processes, 106, 168-179.
39. RAKOW, T., & RAHIM, S. B. (in press). Developmental insights into experience-based decision making. Journal of Behavioral Decision Making.
40. 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.
41. SARIN, R., & VAHID, F. (2001). Predicting how people play games: A simple dynamic model of choice. Games & Economic Behavior, 34, 104-122.
42. SCHOOLER, L. J., & HERTWIG, R. (2005). How forgetting aids heuristic inference. Psychological Review, 112, 610-628.
43. SHANKS, D. R., TUNNEY, R. J., & MCCARTHY, J. D. (2002). A re-examination of probability matching and rational choice. Journal of Behavioral Decision Making, 15, 233-250. (Pubitemid 37282701)
44. SHARPE, W. F. (1964). Capital asset prices: A theory of market equilibrium under conditions of risk. Journal of Finance, 19, 425-442.
45. SNIEZEK, J. A., & BUCKLEY, T. (1995). Cueing and cognitive conflict in judge-advisor decision making. Organizational Behavior & Human Decision Processes, 62, 159-174.
46. TVERSKY, A., & EDWARDS, W. (1966). Information versus reward in binary choices. Journal of Experimental Psychology, 71, 680-683.
47. WEBER, E. U., SHAFIR, S., & BLAIS, A.-R. (2004). Predicting risk sensitivity in humans and lower animals: Risk as variance or coefficient of variation. Psychological Review, 111, 430-445.
48. WOLFORD, G., NEWMAN, S. E., MILLER, M. B., & WIG, G. S. (2004). Searching for patterns in random sequences. Canadian Journal of Experimental Psychology, 58, 221-228.
49. YANIV, I. (2004). Receiving other people's advice: Influence and benefit. Organizational Behavior & Human Decision Processes, 93, 1-13.
50. YANIV, I., & KLEINBERGER, E. (2000). Advice taking in decision making: Egocentric discounting and reputation formation. Organizational Behavior & Human Decision Processes, 83, 260-281.
51. YECHIAM, E., & BUSEMEYER, J. R. (2005). Comparison of basic assumptions embedded in learning models for experience-based decision making. Psychonomic Bulletin & Review, 12, 387-402.
52. YECHIAM, E., & BUSEMEYER, J. R. (2006). The effect of foregone payoffs on underweighting small probability events. Journal of Behavioral Decision Making, 19, 1-16.