Herbert Simon's spell on judgment and decision making

Judgment and Decision Making

Volumn 6, Issue 8, 2011, Pages 722-732

  Katsikopoulos, Konstantinos V ^a   dan Lan, Cherng Horng ^b  

^a MAX PLANCK INSTITUTE FOR HUMAN DEVELOPMENT   (Germany)

^b CITY UNIVERSITY   (United Kingdom)

Author keywords

Bounded rationality; Herbert simon; Judgment and decision making

Indexed keywords

EID: 84855253479     PISSN: None     EISSN: 19302975     Source Type: Journal    
DOI: None     Document Type: Article

References (126)

1. Andersson, P., & Rakow, T. (2007). Now you see it now you don't: The effectiveness of the recognition heuristic for selecting stocks. Judgment and Decision Making, 2, 29-39.
2. Arkes, H. R., Gonzalez-Vallejo, C., Bonham, A. J., Kung, Y. H., & Bailey, N. (2010). Assessing the merits and faults of holistic and disaggregated judgments. Journal of Behavioral Decision Making, 23, 250-270.
3. Astebro, T., & Koehler, D. J. (2007). Calibration accuracy of a judgmental process that predicts the commercial success of new product ideas. Journal of Behavioral Decision Making, 20, 381-403.
4. Augier, M., & March, J. G. (2002). A model scholar: Herbert A. Simon (1916-2001). Journal of Economic Behavior and Organization, 49, 1-17.
5. Ayal, S., & Hochman, G. U. Y. (2009). Ignorance or integration: The cognitive processes underlying choice behavior. Journal of Behavioral Decision Making, 22, 455-474.
6. Baron, J. (2006). President's column: Normative, descriptive, and prescriptive. Society for Judgment and Decision Making Newsletter, 25, 5-7.
7. Beaman, C. P., Smith, P. T., Frosch, C. A., & McCloy, R. (2010). Less-is-more effects without the recognition heuristic. Judgment and Decision Making, 5, 258-271.
8. Bereby-Meyer, Y., & Grosskopf, B. (2002). Overcoming the winner's curse: An adaptive learning perspective. Journal of Behavioral Decision Making, 21, 15-27.
9. Bishara, A. J., Pleskac, T. J., Fridberg, D. J., Yechiam, E., Lucas, J., Busemeyer, J. R., Finn, P. R., & Stout, J. C. (2009). Similar processes despite divergent behavior in two commonly used measures of risky decision making. Journal of Behavioral Decision Making, 22, 435-454.
10. Brest, P. (2006). Amos Tversky's contributions to legal scholarship: Remarks at the BDRM session in honor of Amos Tversky, June 16, 2006. Judgment and Decision Making, 1, 174-178.
11. Broeder, A., Newell, B. R., & Platzer, C. (2010). Cue integration vs. exemplar-based reasoning in multiattribute decisions from memory: A matter of cue representation. Judgment and Decision Making, 5, 326338.
12. Broeder, A., & Schiffer, S. (2006). Stimulus format and working memory in fast and frugal strategy selection. Journal of Behavioral Decision Making, 19, 361-380.
13. Brown, R. V. (2006). Making decision research useful - not just rewarding. Judgment and Decision Making, 1, 162-173.
14. Bryant, D. J. (2007). Classifying simulated air threats with fast and frugal heuristics. Journal of Behavioral Decision Making, 20, 37-64.
15. Bucciarelli, M., Khemlani, S., & Johnson-Laird, P. N. (2008). The psychology of moral reasoning. Judgment and Decision Making, 3, 121-139.
16. Busemeyer, J. R., & Diederich, A. (2010). Cognitive Modeling. Thousands Oaks, CA: Sage.
17. Cahan, S., & Snapiri, T. (2008). Intuitive prediction: Ecological validity versus representativeness. Journal of Behavioral Decision Making, 21, 297-316.
18. Campitelli, G., & Labollita (2010). Correlations of cognitive reflection with judgments and choices. Judgment and Decision Making, 5, 182-191.
19. Chen, Y.-J., & Corter, J. E. (2006). When mixed options are preferred in multiple-trial decisions. Journal of Behavioral Decision Making, 19, 17-42.
20. Cokely, E. T., & Kelley, C. M. (2009). Cognitive abilities and superior decision making under risk: A protocol analysis and process model evaluation. Judgment and Decision Making, 4, 20-33.
21. Dana, J., & Thomas, R. (2006). In defense of clinical judgment and mechanical prediction. Journal of Behavioral Decision Making, 19, 413-428.
22. Davis-Stober, C. P., Dana, J., & Budescu, D. V. (2010). Why recognition is rational: Optimality results on single-variable decision rules. Judgment and Decision Making, 5, 216-229.
23. Diab, D. L., Gillespie, M. A., & Highhouse, S. (2008). Are maximizers really unhappy? The measurement ofmaximizing tendency. Judgment and Decision Making, 3, 364-370.
24. Dieckmann, A., & Dietrich, H. (2009). Compensatory versus noncompensatory models for predicting consumer preferences. Judgment and Decision Making, 4, 200-213.
25. Dougherty, M. R., Franco-Watkins, A. M., & Thomas, R. (2008). Psychological plausibility of the theory of probabilistic mental models and the fast and frugal heuristics. Psychological Review, 115, 199-213.[2028?]
26. Dunwoody, P. (2004). Introduction to the special issue: Coherence and correspondence in judgment and decision making. Judgment and Decision Making, 4, 113-115.
27. Erdfelder, E., Küpper-Tetzel, C. E., & Mattern, S. D. (2011). Threshold models of recognition and the recognition heuristic. Judgment and Decision Making, 6, 7-22.[2028?]
28. Erev, I., Ert, E., & Yechiam, E. (2008). Loss aversion, diminishing sensitivity, and the effect of experience on repeated decisions. Journal of Behavioral Decision Making, 21, 575-597.
29. Ericsson, K. A., & Simon, H. A. (1993). Protocol Analysis: Verbal Reports as Data. Cambridge, MA: MIT Press.
30. Fiedler, K. (1991). Heuristics and biases in theory formation. Theory and Psychology, 1, 407-430.
31. Fiedler, K. (2010). How to study cognitive decision algorithms: The case of the priority heuristic. Judgment and Decision Making, 5, 21-32.
32. Fox, C. R., & Hadar, L. (2006). Decisions from experience = sampling error + prospect theory: Reconsidering Hertwig, Barron, Weber, and Erev (2004). Judgment and Decision Making, 1, 159-161.
33. Gaissmaier, W., Chooler, L. J., & Mata, R. (2008). An ecological perspective to cognitive limits: Modeling environment-mind interactions with ACT-R. Judgment and Decision Making, 3, 278-291.
34. Gal, D. (2006). A psychological law of inertia and the illusion of loss aversion. Judgment and Decision Making, 1, 23-32.
35. Gigerenzer, G. (1998). Surrogates for theories. Theory and Psychology, 8, 195-204.
36. Gigerenzer, G. (2010). Personal reflections on theory and psychology. Theory and Psychology, 20, 733-743.
37. Gigerenzer, G., and Selten, R. (2001). Bounded Rationality: The Adaptive Toolbox. Cambridge, MA: MIT Press.
38. Gigerenzer, G., Todd, P. M., and the ABC research group (1999). Simple Heuristics that Make Us Smart. New York: Oxford University Press.
39. Gloeckner, A. (2009). Investigating intuitive and deliberate processes statistically: The multiple-measure maximum-likelihood strategy classification method. Judgment and Decision Making, 4, 186-199.
40. Gloeckner, A., & Betsch, T. (2008). Modeling option and strategy choices with connectionist networks: Towards an integrative model of automatic and deliberate decision making. Judgment and Decision Making, 3, 215228.
41. Gloeckner, A., and Betsch, T. (2010). Accounting for critical evidence while being precise and avoiding the strategy selection problem in a parallel constraint satisfaction approach. Journal of Behavioral Decision Making, 23, 468-472.
42. Gloeckner, A., Betsch, T., and Schindler, N. (2010). Coherence shifts in probabilistic inference tasks. Journal of Behavioral Decision Making, 23, 439-462.
43. Hammond, K. R. (2007). Beyond Rationality. Oxford: Oxford University Press.
44. Haran, U., Moore, D. A., & Morewedge, C. K. (2010). A simple remedy for overprecision in judgment. Judgment and Decision Making, 5, 467-476.
45. Hausmann, D., & Laege, D. (2008). Sequential evidence accumulation in decision making: The individual desired level of confidence can explain the extent of information acquisition. Judgment and Decision Making, 3, 229-243.
46. Heukelom, F. (2010). Measurement and decision making at the University of Michigan in the 1950s and 1960s. Journal of the History of the Behavioral Sciences, 46, 189-207.
47. Hilbig, B. E. (2010). Precise models deserve precise measures: A methodological dissection. Judgment and Decision Making, 5, 272-284.
48. Hilbig, B. E. (2010). Reconsidering "evidence" for fastand-frugal heuristics. Psychonomic Bulletin and Review, 17, 923-930.[2028?]
49. Hilbig, B. E., Pohl, R. F., & Broeder, A. (2009). Criterion knowledge: A moderator of using the recognition heuristic? Journal of Behavioral Decision Making, 22, 510-522.
50. Hilbig, B. E., Scholl, S. G., & Pohl, R. F. (2010). Think or blink - is the recognition heuristic an "intuitive" strategy? Judgment and Decision Making, 5, 300-309.
51. Hochman, G., Ayal, S., & Gloeckner, A. (2010). Physiological arousal in processing recognition information: Ignoring or integrating cognitive cues? Judgment and Decision Making, 5, 285-299.
52. Hogarth, R. M. (2011). When simple is hard to accept. In P. M. Todd, G. Gigerenzer, and the ABC research group (Eds.) Ecological Rationality: Intelligence in the World (pp. 61-79). New York: Oxford University Press.
53. Horstmann, N., Ahlgrimm, A., & Gloeckner, A. (2009). How distinct are intuition and deliberation? An eye-tracking analysis of instruction-induced decision modes. Judgment and Decision Making, 4, 335-354.
54. Jekel, M., Nicklisch, A., & Gloeckner, A. (2010). Implementation of the multiple-measure maximum likelihood strategy classification method in R: Addendum to Gloeckner (2009) and practical guide for application. Judgment and Decision Making, 5, 54-63.
55. Johnson, J. E. V., Schnytzer, A., & Liu, S. (2009). To what extent do investors in a financial market anchor their judgments? Evidence from the Hong Kong horserace betting market. Journal of Behavioral Decision Making, 22, 410-434.
56. Kahneman, D. (2003). A perspective on judgment and choice: Mapping bounded rationality. American Psychologist, 58, 697-720.
57. Karlsson, L., Juslin, P., & Olsson, H. (2008). Exemplarbased inference in multi-attribute decision making: Contingent, not automatic, strategy shifts? Judgment and Decision Making, 3, 244-260.
58. Katsikopoulos, K. V. (2009). Coherence and correspondence in engineering design: Informing the conversation and connecting with judgment and decisionmaking research. Judgment and Decision Making, 4, 147-153.
59. Katsikopoulos, K. V. (2010). Don't take gurus too seriously: Review of "A Science of Decision Making: The Legacy of Ward Edwards" (Eds. J. W. Weiss and D. J. Weiss). Journal of Mathematical Psychology, 54, 401-403.
60. Katsikopoulos, K. V. (2010). The less-is-more effect: Predictions and tests. Judgment and Decision Making, 5, 244-257.
61. Katsikopoulos, K. V. (2011). Psychological heuristics for making inferences: Definition, performance, and the emerging theory and practice. Decision Analysis, 8, 10-29.
62. Katsikopoulos, K. V., and Fasolo, B. (2006). New tools for decision analysts. IEEE Transactions on Systems, Man and Cybernetics: Systems and Humans, 36, 960-967.
63. Kuehberger, A., & Tanner, C. (2010). Risky choice framing: Task versions and a comparison of prospect theory and fuzzy-trace theory. Journal of Behavioral Decision Making, 23, 314-329.
64. Koehler, J. J., & Macchi, L. (2009). Commentary: Comments on "Getting scarred and winning lotteries: Effects of exemplar cuing and statistical format on imagining low-probability events," by Newell, Mitchell, and Hayes (2008). Journal of Behavioral Decision Making, 22, 523-527.
65. Korhonen, P., Mano, H., Stenfors, S., & Wallenius, J. (2008). Inherent biases in decision support systems: The influence of optimistic and pessimistic DSS on choice, affect, and attitudes. Journal of Behavioral Decision Making, 21, 45-58.
66. Lakey, C. E., Rose, P., Campbell, W. K., & Goodie, A. S. (2008). Probing the link between narcissism and gambling: The mediating role of judgment and decisionmaking biases. Journal of Behavioral Decision Making, 21, 113-137.
67. Lenton, A. P., & Stewart, A. (2008). Changing her ways: The number of options and mate-standard strength impact mate choice strategy and satisfaction. Judgment and Decision Making, 3, 501-511.
68. Lerner, J. S., & Tiedens, L. Z. (2006). Portrait of the angry decision maker: How appraisal tendencies shape anger[2032?]s influence on cognition. Journal of Behavioral Decision Making, 19, 115-137.
69. Li, Y. E., & Epley, N. (2009). When the best appears to be saved for last: Serial position effects on choice. Journal of Behavioral Decision Making, 22, 378-389.
70. Luan, S., Chooler, L. J., & Gigerenzer, G. (2011). A signal-detection analysis of fast-and-frugal trees. Psychological Review, 118, 316-338.
71. Luce, R. D. (1997). Several unresolved conceptual problems of mathematical psychology. Journal of Mathematical Psychology, 41, 79-87.
72. Marewski, J. N. (2010). On the theoretical precision and the strategy selection problem of a single strategy approach: A comment on Gloeckner, Betsch, and Schindler (2010). Journal of Behavioral Decision Making, 23, 463-467.
73. Marewski, J. N., Pachur, T., & Broeder, A. (2008). The recognition heuristic in memory-based inference: Is recognition a non-compensatory cue? Journal of Behavioral Decision Making, 21, 183-210.
74. Marewski, J. N., Pohl, R. F., and Vitouch, O. (2010). Recognition-based judgments and decisions: Introduction to the special issue (Vol. 1). Judgment and Decision Making, 5, 207-215.
75. Marewski, J. N., Pohl, R. F., and Vitouch, O. (2011). Recognition-based judgments and decisions: What we have learned (so far). Judgment and Decision Making, 6, 359-380.
76. Martins, A. C. R. (2006). Probability biases as Bayesian inference. Judgment and Decision Making, 1, 108-117.
77. Miller, C. C. (2008). Decisional comprehensiveness and firm performance: towards a more complete understanding. Journal of Behavioral Decision Making, 21, 598-620.
78. Milosavljevic, M., Malmaud, J., & Huth, A. (2010). The drift diffusion model can account for the accuracy and reaction time of value-based choices under high and low time pressure. Judgment and Decision Making, 5, 437-449.
79. Monat, J. P. (2009). The benefits of global scaling in multi-criteria decision analysis. Judgment and Decision Making, 4, 492-508.
80. Mischel, W. (2009). The toothbrush problem. Association for Psychological Science Observer, 21, 11.
81. Morera, O. F., and Dawes, R. M. (2006). Clinical and statistical prediction after fifty years: A dedication to Paul Meehl. Journal of Behavioral Decision Making, 19, 409-412.
82. Mosier, K. L. (2009). Searching for coherence in a correspondence world. Judgment and Decision Making, 4, 154-163.
83. Moses, J. (2004). Three design methodologies, their associated organizational structures and their relationship to various fields. Unpublished manuscript, Cambridge, MA: Massachusetts Institute of Technology.
84. Mullin, B., Mullin, M., & Mullin, R. (with comments from J. Dowie & R. V. Brown) (2008). Mhairi[2032?]s dilemma: A study of decision analysis at work. Judgment and Decision Making, 3, 679-689.
85. Nenkov, G. Y., Morrin, M., Ward, A., Schwartz, B., & Hulland, J. (2008). A short form of the maximization scale: Factor structure, reliability and validity studies. Judgment and Decision Making, 3, 371-388.
86. Newell, B. R., and Broeder, A. (2008). Cognitive models, processes, and metaphors in decision research. Judgment and Decision Making, 3, 195-204.
87. Newell, B. R., & Fernandez, D. (2006). On the binary quality of recognition and the inconsequentiality of further knowledge: Two critical tests of the recognition heuristic. Journal of Behavioral Decision Making, 19, 333-346.
88. Newell, B. R., Lagnado, D. A., and Shanks, D. R. (2007). Straight Choices: The Psychology of Decision Making. Hove, UK: Psychology Press.
89. Newell, B. R., Mitchell, C. J., & Hayes, B. K. (2008). Getting scarred and winning lotteries: Effects of exemplar cuing and statistical format on imagining lowprobability events. Journal of Behavioral Decision Making, 21, 317-335.
90. Newell, B. R., Mitchell, C. J., & Hayes, B. K. (2009). Rejoinder: Missing the target: A reply to Koehler and Macchi (2009). Journal of Behavioral Decision Making, 22, 528-532.
91. Oeusoonthornwattana, O., & Shanks, D. R. (2010). I like what I know: Is recognition a noncompensatory determiner of consumer choice? Judgment and Decision Making, 5, 310-325.
92. Oenkal, D., Goodwin, P., Thomson, M., Gonul, S., & Pollock, A. (2010). The relative influence of advice from human experts and statistical methods on forecast adjustments. Journal of Behavioral Decision Making, 22, 390409.
93. Pachur, T., Broeder, A., & Marewski, J. N. (2008). The recognition heuristic in memory-based inference. Journal of Behavioral Decision Making, 21, 183-210.
94. Parker, A. M., Bruine De Bruin, W., & Fischhoff, B. (2007). Maximizers versus satisficers: Decisionmaking styles, competence, and outcomes. Judgment and Decision Making, 2, 342-350.
95. Patalano, A. L., Juhasz, B. J., & Dicke, J. (2010). The relationship between indecisiveness and eye movement patterns in a decision making informational search task. Journal of Behavioral Decision Making, 23, 353368.
96. Patalano, A. L., & Wengrovitz, S. M. (2007). Indecisiveness and response to risk in deciding when to decide. Journal of Behavioral Decision Making, 20, 405-424.
97. Payne, J. W., Bettman, J. R., & Johnson, E. J. (1993). The Adaptive Decision Maker. Cambridge, UK: Cambridge University Press.
98. Pettibone, J. C., & Wedell, D. H. (2007). Testing alternative explanations of phantom decoy effects. Journal of Behavioral Decision Making, 20, 323-341.
99. Pohl, R. F. (2006). Empirical tests of the recognition heuristic. Journal of Behavioral Decision Making, 19, 251-271.
100. Polman, E. (2010). Why maximizers less happy than satisficers? Because they maximize positive and negative outcomes. Journal of Behavioral Decision Making, 23, 179-190.
101. Quiamzade, A., & Huillier, J.-P. L. (2009). Herding by attribution of privileged information. Journal of Behavioral Decision Making, 19, 1-19.
102. Rakow, T. (2010). Risk, uncertainty and prophet: The psychological insights of Frank H. Knight. Judgment and Decision Making, 5, 458-466.
103. Reid, A. A., & Gonzalez-Vallejo, C. (2009). Emotion as a tradeable quantity. Journal of Behavioral Decision Making, 22, 62-90.
104. Reisen, N., Hoffrage, U., & Mast, F. W. (2008). Identifying decision strategies in a consumer choice situation. Judgment and Decision Making, 3, 641-658.
105. Saad, G., Eba, A., & Sejean, R. (2009). Sex differences when searching for a mate: A process-tracing approach. Journal of Behavioral Decision Making, 22, 171-190.
106. Schrah, G. E., Dalal, R. S., & Sniezek, J. A. (2006). No decision-maker is an island: Integrating expert advice with information acquisition. Journal of Behavioral Decision Making, 19, 43-60.
107. Serwe, S., & Frings, C. (2006). Who will win Wimbledon? The recognition heuristic in predicting sports events. Journal of Behavioral Decision Making, 19, 321-332.
108. Simon, H. A. (1955). A behavioral model of rational choice. Quarterly Journal of Economics, 69, 99-118.
109. Simon, H. A. (1956). Rational choice and the structure of the environment. Psychological Review, 63, 129-138.
110. Simon, H. A. (1968). The Sciences of the Artificial. Cambridge, MA: MIT Press.
111. Simon, H. A. (1972). Theories of bounded rationality, In C. B. McGuire and R. Radner (Eds.), Decision and Organization (pp. 161-176). Amsterdam: NorthHolland.
112. Simon, H. A. (2001). On simulating Simon: his monomania, and its sources in bounded rationality. Studies z in the History and Philosophy of Science, 32, 501-505.
113. Shaffer, V. A., & Hulsey, L. (2009). Are patient decision aids effective? Insight from revisiting the debate between correspondence and coherence theories of judgment correspondence and coherence approaches to evaluating patient decision aids. Judgment and Decision Making, 4, 141-146.
114. Shah, A. K., & Oppenheimer, D. M. (2007). Easy does it: The role of fluency in cue weighting. Judgment and Decision Making, 2, 371-379.
115. Shani, Y., & Zeelenberg, M. (2007). When and why do we want to know? How experienced regret promotes post-decision information search. Journal of Behavioral Decision Making, 20, 207-222.
116. Shu, S. B. (2008). Future-biased search: The quest for the ideal. Journal of Behavioral Decision Making, 21, 352-377.
117. Smithson, M. (2010). When less is more in the recognition heuristic. Judgment and Decision Making, 5, 230-243.
118. Tape, T. G. (2009). Coherence and correspondence in medicine. Judgment and Decision Making, 4, 134-140.
119. Tsai, C. I., & Hsee, C. K. (2009). A behavioral account of compensation awarding decisions. Journal of Behavioral Decision Making, 22, 138-152.
120. Vlaev, I., Chater, N., & Stewart, N. (2008). Seeing is not enough: Manipulating choice options causes focusing and preference change in multiattribute risky decisionmaking. Journal of Behavioral Decision Making, 21, 556-574.
121. Vlek, C. (1984). What constitutes a good decision? A panel discussion among Ward Edwards, Istvan Kiss, Giandomenico Majone, and Masanao Toda. Acta Psychologica, 56, 5-27.
122. Watkins, M. J. (1984). Models as toothbrushes. Behavioral and Brain Sciences, 7, 86.
123. Wang, X. T. (2008). Decision heuristics as predictors of public choice. Journal of Behavioral Decision Making, 21, 77-89.
124. Weber, B. J. (2007). The effects of losses and event splitting on the Allais paradox. Judgment and Decision Making, 2, 115-125.
125. Weiss, J. W., & Weiss, D. J. (2009). A Science of Decision Making: The Legacy of Ward Edwards. New York: Oxford University Press.
126. Wolfe, C. R., & Reyna, V. F. (2010). Semantic coherence and fallacies in estimating joint probabilities. Journal of Behavioral Decision Making, 23, 203-223.