From recognition to decisions: Extending and testing recognition-based models for multialternative inference

Psychonomic Bulletin and Review

Volumn 17, Issue 3, 2010, Pages 287-309

  Marewski, Julian N ^a   Gaissmaier, Wolfgang ^a   Schooler, Lael J ^a   Goldstein, Daniel G ^b   Gigerenzer, Gerd ^a  

^a MAX PLANCK INSTITUTE FOR HUMAN DEVELOPMENT   (Germany)

^b LONDON BUSINESS SCHOOL   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; ASSOCIATION; DECISION MAKING; FEMALE; HUMAN; INDIVIDUALITY; INFORMATION PROCESSING; MALE; PROBABILITY; PSYCHOLOGICAL MODEL; RECOGNITION; STATISTICAL MODEL;

ADULT; CUES; DATA COLLECTION; DECISION MAKING; FEMALE; HUMANS; INDIVIDUALITY; MALE; MODELS, PSYCHOLOGICAL; MODELS, STATISTICAL; PROBABILITY; RECOGNITION (PSYCHOLOGY);

EID: 77955489174     PISSN: 10699384     EISSN: 15315320     Source Type: Journal    
DOI: 10.3758/PBR.17.3.287     Document Type: Article

References (87)

1. Alba, J. W., & Chattopadhyay, A. (1985). Effects of context and partcategory cues on recall of competing brands. Journal of Marketing Research, 22, 340-349.
2. Anderson, J. R., Bothell, D., Byrne, M. D., Douglass, S., Lebiere, C., & Qin, Y. (2004). An integrated theory of the mind. Psychological Review, 111, 1036-1060.
3. Anderson, J. R., Bothell, D., Lebiere, C., & Matessa, M. (1998). An integrated theory of list memory. Journal of Memory & Language, 38, 341-380.
4. Bartels, L. M. (2000). Partisanship and voting behavior, 1952-1996. American Journal of Political Science, 44, 35-50.
5. Beach, L. R., & Mitchell, T. R. (1978). A contingency model for the selection of decision strategies. In L. R. Beach (Ed.), Image theory: Theoretical and empirical foundations (pp. 145-158). Mahwah, NJ: Erlbaum.
6. Bergert, F. B., & Nosofsky, R. M. (2007). A response-time approach to comparing generalized rational and take-the-best models of decision making. Journal of Experimental Psychology: Learning, Memory, & Cognition, 31, 107-129.
7. Bröder, A., & Eichler, A. (2006). The use of recognition information and additional cues in inferences from memory. Acta Psychologica, 121, 275-284.
8. Bröder, A., & Gaissmaier, W. (2007). Sequential processing of cues in memory-based multiattribute decisions. Psychonomic Bulletin & Review, 14, 895-900.
9. Bruner, J. S. (1957). On perceptual readiness. Psychological Review, 64, 123-152.
10. Coates, S. L., Butler, L. T., & Berry, D. C. (2004). Implicit memory: A prime example for brand consideration and choice. Applied Cognitive Psychology, 18, 1195-1211.
11. Coates, S. L., Butler, L. T., & Berry, D. C. (2006). Implicit memory and consumer choice: The mediating role of brand familiarity. Applied Cognitive Psychology, 20, 1101-1116.
12. Cokely, E. T., & Kelley, C. M. (2009). Cognitive abilities and superior decision making under risk: A protocol analysis and process model evaluation. Judgment & Decision Making, 4, 20-33.
13. Dawes, R. M. (1979). The robust beauty of improper linear models in decision making. American Psychologist, 34, 571-582.
14. Dougherty, M. R. P., Franco-Watkins, A. N., & Thomas, R. (2008). Psychological plausibility of the theory of probabilistic mental models and the fast and frugal heuristics. Psychological Review, 115, 199-213.
15. Dougherty, M. R. P., Gettys, C. F., & Ogden, E. E. (1999). Minerva-DM: A memory processes model for judgments of likelihood. Psychological Review, 106, 180-209.
16. Einhorn, H. J. (1970). The use of nonlinear, noncompensatory models in decision making. Psychological Bulletin, 73, 221-230.
17. Einhorn, H. J., & Hogarth, R. M. (1975). Unit weighting schemes for decision making. Organizational Behavior & Human Performance, 13, 171-192.
18. Fishburn, P. C. (1974). Lexicographic orders, utilities and decision rules: A survey. Management Science, 20, 1442-1471.
19. Ford, J. K., Schmitt, N., Schechtman, S. L., Hults, B. M., & Doherty, M. L. (1989). Process tracing methods: Contributions, problems, and neglected research questions. Organizational Behavior &Decision Processes, 43, 75-117.
20. Frosch, C. A., Beaman, C. P., & McCloy, R. (2007). A little learning is a dangerous thing: An experimental demonstration of ignorancedriven inference. Quarterly Journal of Experimental Psychology, 60, 1329-1336.
21. Fum, D., Del Missier, F., & Stocco, A. (2007). The cognitive modeling of human behavior: Why a model is (sometimes) better than 10,000 words. Cognitive Systems Research, 8, 135-142.
22. Galef, B. G., Jr. (1987). Social influences on the identification of toxic foods by Norway rats. Animal Learning & Behavior, 15, 327-332.
23. Gigerenzer, G., & Goldstein, D. G. (1996). Reasoning the fast and frugal way: Models of bounded rationality. Psychological Review, 103, 650-669.
24. Gigerenzer, G., Hoffrage, U., & Goldstein, D. G. (2008). Fast and frugal heuristics are plausible models of cognition: Reply to Dougherty, Franco-Watkins, and Thomas (2008). Psychological Review, 115, 230-239.
25. Goldstein, D. G., & Gigerenzer, G. (1999). The recognition heuristic: How ignorance makes us smart. In G. Gigerenzer, P. M. Todd, & the ABC Research Group (Eds.), Simple heuristics that make us smart (pp. 37-58). New York: Oxford University Press.
26. Goldstein, D. G., & Gigerenzer, G. (2002). Models of ecological rationality: The recognition heuristic. Psychological Review, 109, 75-90.
27. Goodman, L. A., & Kruskal, W. H. (1954). Measures of association for cross classifications. Journal of the American Statistical Association, 49, 732-769.
28. Grainger, J., & Jacobs, A. M. (1996). Orthographic processing in visual word recognition: A multiple read-out model. Psychological Review, 103, 518-565.
29. Gronlund, S. D., & Ratcliff, R. (1989). The time course of item and associative information: Implications for global memory models. Journal of Experimental Psychology: Learning, Memory, & Cognition, 15, 846-858.
30. Hauser, J. R., & Wernerfelt, B. (1990). An evaluation cost model of consideration sets. Journal of Consumer Research, 16, 393-408.
31. Hertwig, R., Herzog, S.M., Schooler L.J., & Reimer, T. (2008). Fluency heuristic: A model of how the mind exploits a by-product of information retrieval. Journal of Experimental Psychology: Learning, Memory, & Cognition, 34, 1191-1206.
32. Hertwig, R., & Todd, P. M. (2003). More is not always better: The benefits of cognitive limits. In D. Hardman & L. Macchi (Eds.), Thinking: Psychological perspectives on reasoning, judgment and decision making (pp. 213-231). Chichester, U.K.: Wiley.
33. Herzog, S. M., & Hertwig, R. (2010). The wisdom of ignorant crowds: Predicting sport outcomes by mere recognition. Manuscript submitted for publication.
34. Hilbig, B. E. (2008). Individual differences in fast-and-frugal decision making: Neuroticism and the recognition heuristic. Journal of Research in Personality, 42, 1641-1645.
35. Hilbig, B. E., & Pohl, R. F. (2008). Recognizing users of the recognition heuristic. Experimental Psychology, 55, 394-401.
36. Hilbig, B. E., & Pohl, R. F. (2009). Ignorance- vs. evidence-based decision making: A decision time analysis of the recognition heuristic. Journal of Experimental Psychology: Learning, Memory, & Cognition, 35, 1296-1305.
37. Hilbig, B. E., Pohl, R. F., & Bröder, A. (2009). Criterion knowledge: A moderator of using the recognition heuristic? Journal of Behavioral Decision Making, 22, 510-522.
38. Hintzman, D. L. (1988). Judgment of frequency and recognition memory in a multiple trace memory model. Psychological Review, 95, 528-551.
39. Hintzman, D. L. (1991). Why are formal models useful in psychology? In W. E. Hockley & S. Lewandowsky (Eds.), Relating theory and data: Essays on human memory in honor of Bennet B. Murdock (pp. 39-56). Hillsdale, NJ: Erlbaum.
40. Hintzman, D. L., & Curran, T. (1994). Retrieval dynamics of recognition and frequency judgments: Evidence for separate processes of familiarity and recall. Journal of Memory & Language, 33, 1-18.
41. Hogarth, R. M. (1987). Judgment and choice: The psychology of decision. Chichester, U.K.: Wiley.
42. Hogarth, R. M., & Karelaia, N. (2005). Simple models for multiattribute choice with many alternatives: When it does and does not pay to face trade-offs with binary attributes. Management Science, 51, 1860-1872.
43. Hogarth, R. M., & Karelaia, N. (2007). Heuristics and linear models of judgment: Matching rules and environments. Psychological Review, 114, 733-758.
44. Howard, J. A., & Sheth, J. N. (1969). The theory of buyer behavior. New York: Wiley.
45. Jacobs, A. M., & Grainger, J. (1994). Models of visual word recognition: Sampling the state of the art. Journal of Experimental Psychology: Human Perception & Performance, 20, 1311-1334.
46. Jacoby, L. L., & Brooks, L. R. (1984). Nonanalytic cognition: Memory, perception and concept learning. In G. H. Bower (Ed.), The psychology of learning and motivation (Vol. 18, pp. 1-47). New York: Academic Press.
47. Jacoby, L. L., & Dallas, M. (1981). On the relationship between autobiographical memory and perceptual learning. Journal of Experimental Psychology: General, 110, 306-340.
48. Kohli, R., & Jedidi, K. (2007). Representation and inference of lexicographic preference models and their variants. Marketing Science, 26, 380-399.
49. Lewandowsky, S. (1993). The rewards and hazards of computer simulations. Psychological Science, 4, 236-243.
50. Mandler, G. (1980). Recognizing: The judgment of previous occurrence. Psychological Review, 87, 252-271.
51. Marewski, J. N. (2008). Ecologically rational strategy selection. Unpublished doctoral dissertation, Free University, Berlin.
52. Marewski, J. N., Gaissmaier, W., & Gigerenzer, G. (2010). Good judgments do not require complex cognition. Cognitive Processing, 11, 103-121.
53. Marewski, J.N., Gaissmaier, W., Schooler L.J., Goldstein, D.G., & Gigerenzer, G. (2009). Do voters use episodic knowledge to rely on recognition? In N. A. Taatgen & H. van Rijn (Eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society (pp. 2232-2237). Austin, TX: Cognitive Science Society.
54. Marewski, J. N., & Olsson, H. (2009). Beyond the null ritual: Formal modeling of psychological processes. Zeitschrift für Psychologie/Journal of Psychology, 217, 49-60.
55. Marewski, J. N., & Schooler L.J. (2009). Cognitive niches: An ecological model of emergent strategy selection. Manuscript submitted for publication.
56. Marewski, J. N., Schooler L.J., & Gigerenzer, G. (2010). Five principles for studying people's use of heuristics. Acta Psychologica Sinica, 42, 72-87.
57. Mata, R., Schooler L.J., & Rieskamp, J. (2007). The aging decision maker: Cognitive aging and the adaptive selection of decision strategies. Psychology & Aging, 22, 796-810.
58. McCloy, R., Beaman, C. P., & Smith, P. T. (2008). The relative success of recognition-based inference in multi-choice decisions. Cognitive Science, 32, 1037-1048.
59. McElree, B., Dolan, P. O., & Jacoby, L. L. (1999). Isolating the contributions of familiarity and source information to item recognition: A time course analysis. Journal of Experimental Psychology: Learning, Memory, & Cognition, 25, 563-582.
60. 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.
61. Newell, B. R., & Shanks, D. R. (2004). On the role of recognition in decision making. Journal of Experimental Psychology: Learning, Memory, & Cognition, 30, 923-935.
62. Oppenheimer, D. M. (2003). Not so fast! (and not so frugal!): Rethinking the recognition heuristic. Cognition, 90, B1-B9.
63. Pachur, T. (in press). Recognition-based inference: When is less more in the real world? Psychonomic Bulletin & Review.
64. Pachur, T., & Biele, G. (2007). Forecasting from ignorance: The use and usefulness of recognition in lay predictions of sports events. Acta Psychologica, 125, 99-116.
65. Pachur, T., Bröder, A., & Marewski, J. N. (2008). The recognition heuristic in memory-based inference: Is recognition a non-compensatory cue? Journal of Behavioral Decision Making, 21, 183-210.
66. Pachur, T., & Hertwig, R. (2006). On the psychology of the recognition heuristic: Retrieval primacy as a key determinant of its use. Journal of Experimental Psychology: Learning, Memory, & Cognition, 32, 983-1002.
67. Pachur, T., Mata, R., & Schooler L.J. (2009). Cognitive aging and the use of recognition in decision making. Psychology & Aging, 24, 901-915.
68. Pachur, T., Todd, P. M., Gigerenzer, G., Schooler L.J., & Goldstein, D. G. (in press). Is ignorance an adaptive tool? A review of recognition heuristic research. In P. M. Todd, G. Gigerenzer, & the ABC Research Group (Eds.), Ecological rationality: Intelligence in the world. New York: Oxford University Press.
69. Payne, J. W., Bettman, J. R., & Johnson, E. J. (1993). The adaptive decision maker. New York: Cambridge University Press.
70. Pitt, M. A., Myung, I. J., & Zhang, S. (2002). Toward a method for selecting among computational models for cognition. Psychological Review, 109, 472-491.
71. Pleskac, T. J. (2007). A signal detection analysis of the recognition heuristic. Psychonomic Bulletin & Review, 14, 379-391.
72. Pohl, R. F. (2006). Empirical tests of the recognition heuristic. Journal of Behavioral Decision Making, 19, 251-271.
73. Ratcliff, R., & McKoon, G. (1989). Similarity information versus relational information: Differences in the time course of retrieval. Cognitive Psychology, 21, 139-155.
74. Richter, T., & Späth, P. (2006). Recognition is used as one cue among others in judgment and decision making. Journal of Experimental Psychology: Learning, Memory, & Cognition, 32, 150-162.
75. Rieskamp, J., & Otto, P. E. (2006). SSL: A theory of how people learn to select strategies. Journal of Experimental Psychology: General, 135, 207-236.
76. Roberts, J. H., & Lattin, J. M. (1991). Development and testing of a model of consideration set composition. Journal of Marketing Research, 28, 429-440.
77. Schooler L.J., & Hertwig, R. (2005). How forgetting aids heuristic inference. Psychological Review, 112, 610-628.
78. Serwe, S., & Frings, C. (2006). Who will win Wimbledon? The recognition heuristic in predicting sports events. Journal of Behavioral Decision Making, 19, 321-332.
79. Shepard, R. N. (1967). Recognition memory for words, sentences, and pictures. Journal of Verbal Learning & Verbal Behavior, 6, 156-163.
80. Simon, H. A. (1955). A behavioral model of rational choice. Quarterly Journal of Economics, 69, 99-118.
81. Standing, L. (1973). Learning 10,000 pictures. Quarterly Journal of Experimental Psychology, 25, 207-222.
82. Taatgen, N., Van Rijn, H., & Anderson, J. R. (2007). An integrated theory of prospective time interval estimation: The role of cognition, attention, and learning. Psychological Review, 114, 577-598.
83. Tversky, A. (1972). Elimination by aspects: A theory of choice. Psychological Review, 79, 281-299.
84. Tversky, A., & Kahneman, D. (1973). Availability: A heuristic for judging frequency and probability. Cognitive Psychology, 5, 207-232.
85. Volz, K. G., Schooler L.J., Schubotz, R. I., Raab, M., Gigerenzer, G., & von Cramon, D. Y. (2006). Why you think Milan is larger than Modena: Neural correlates of the recognition heuristic. Journal of Cognitive Neuroscience, 18, 1924-1936.
86. Whittlesea, B. W. A. (1993). Illusions of familiarity. Journal of Experimental Psychology: Learning, Memory, & Cognition, 19, 1235-1253.
87. Yee, M., Dahan, E., Hauser, J., & Orlin, J. (2007). Greedoid-based noncompensatory inference. Marketing Science, 26, 532-549.