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Is deck B a disadvantageous deck in the Iowa Gambling Task?

Lin, Ching-Hung, Chiu, Yao-Chu, Lee, Po-Lei, Hsieh, Jen-Chuen·2007·Behavioral and Brain Functions

Abstract

Background: The Iowa gambling task is a popular test for examining monetary decision behavior under uncertainty. According to Dunn et al. review article, the difficult-to-explain phenomenon of "prominent deck B" was revealed, namely that normal decision makers prefer bad final-outcome deck B to good final-outcome decks C or D. This phenomenon was demonstrated especially clearly by Wilder et al. and Toplak et al. The "prominent deck B" phenomenon is inconsistent with the basic assumption in the IGT; however, most IGT-related studies utilized the "summation" of bad decks A and B when presenting their data, thereby avoiding the problems associated with deck B. Methods: To verify the "prominent deck B" phenomenon, this study launched a two-stage simple version IGT, namely, an AACC and BBDD version, which possesses a balanced gain-loss structure between advantageous and disadvantageous decks and facilitates monitoring of participant preferences after the first 100 trials. Results: The experimental results suggested that the "prominent deck B" phenomenon exists in the IGT. Moreover, participants cannot suppress their preference for deck B under the uncertain condition, even during the second stage of the game. Although this result is incongruent with the basic assumption in IGT, an increasing number of studies are finding similar results. The results of the AACC and BBDD versions can be congruent with the decision literatures in terms of gain-loss frequency. Conclusion: Based on the experimental findings, participants can apply the "gain-stay, loss-shift" strategy to overcome situations involving uncertainty. This investigation found that the largest loss in the IGT did not inspire decision makers to avoid choosing bad deck B.

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Figure 1 Counterbalance of deck position in the simplified IGT. The figure showed a flowchart regarding the generation of the AACC and BBDD versions from the original IGT and rearranged them to produce six compositions in the AACC and BBDD versions to counterbalance the position effect. Each composition was performed by two male and two female adults to control the gender effect.
Figure 1 Counterbalance of deck position in the simplified IGT. The figure showed a flowchart regarding the generation of the AACC and BBDD versions from the original IGT and rearranged them to produce six compositions in the AACC and BBDD versions to counterbalance the position effect. Each composition was performed by two male and two female adults to control the gender effect.CC BY · PubMed Central
Figure 2 Mean number of cards selection. This figure illustrates the mean number of card selections between decks A and C with a summation for each stage. The mean of deck C is higher than that of deck A in both stages.
Figure 2 Mean number of cards selection. This figure illustrates the mean number of card selections between decks A and C with a summation for each stage. The mean of deck C is higher than that of deck A in both stages.CC BY · PubMed Central
Figure 3 Mean number of cards selection in blocks. The 2-stage preference curves of decks A and C. Participants preferred deck C to deck A at the beginning and this choice pattern lasted until the end of stage 2.
Figure 3 Mean number of cards selection in blocks. The 2-stage preference curves of decks A and C. Participants preferred deck C to deck A at the beginning and this choice pattern lasted until the end of stage 2.CC BY · PubMed Central
Figure 4 Mean number of cards selection. Experimental results indicated that decision makers have almost the same mean number of cards in decks B and D in stages 1 and 2. Notably, participants seemed unaware of the "largest loss" in deck B during both stages.
Figure 4 Mean number of cards selection. Experimental results indicated that decision makers have almost the same mean number of cards in decks B and D in stages 1 and 2. Notably, participants seemed unaware of the "largest loss" in deck B during both stages.CC BY · PubMed Central
Figure 5 Mean number of cards selection in blocks. The learning curves for decks B and D in both stages indicate that participants were unaware of long-term outcome throughout stage 2. No significant differences existed between the two decks and between blocks.
Figure 5 Mean number of cards selection in blocks. The learning curves for decks B and D in both stages indicate that participants were unaware of long-term outcome throughout stage 2. No significant differences existed between the two decks and between blocks.CC BY · PubMed Central
Figure 6 Participant memory assessments in the simplified IGT. Following stage 1, the two groups (AACC and BBDD) of participants were required to answer the following question: Please recall how many trials you assigned for these decks in total 100 trials" and most participants correctly recalled the number of cards chosen during the first stage, indicating that they have a vivid memory of each deck and that participants preferred deck C to deck A and preferred deck B as often as deck D.
Figure 6 Participant memory assessments in the simplified IGT. Following stage 1, the two groups (AACC and BBDD) of participants were required to answer the following question: Please recall how many trials you assigned for these decks in total 100 trials" and most participants correctly recalled the number of cards chosen during the first stage, indicating that they have a vivid memory of each deck and that participants preferred deck C to deck A and preferred deck B as often as deck D.CC BY · PubMed Central

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Cites

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Research works printed but not linked: 40

  1. Damasio AR: Descartes’ error: emotion, reason, and the human brain. 1994, New York, G. P. Putnam's Sons, 205-222.
  2. Greenfield S: BBC Brain Story: Unlocking Our inner World of Emotion, Memories, Ideas and Desires. 2001, English
  3. Gazzaniga M, Ivry R, Mangun G: Cognitive neuroscience: the biology of the mind. 2002, New York , Norton & Company, Inc., 2nd
  4. Elliott R: Brain Systems Mediating Reward. Human Brain Function. Edited by: Frackowiak RSJ. 2004, London , Elsevier Academic Press, 445-470.
  5. Leland J, Grafman J: Experimental tests of Somatic Marker hypothesis. Games Econ Behav. 2005, 52: 386-409. 10.1016/j.geb.2004.09.001. · DOI
  6. Dunn BD, Dalgleish T, Lawrence AD: The somatic marker hypothesis: A critical evaluation. Neurosci Biobehav Rev. 2006, 30 (2): 239-271. 10.1016/j.neubiorev.2005.07.001. · DOI · Paper page
  7. Glimcher P: Decisions, Uncertainty, and the Brain: The science of neuroeconomics. 2003, London , MIT Press · DOI
  8. Shiv B, Loewenstein G, Bechara A, Damasio H, Damasio AR: Investment behavior and the negative side of emotion. Psychological Science. 2004, 16: 435-439. · DOI · Paper page
  9. Glimcher P: Neuroeconomics: the consilience of brain and decision. Science. 2004, 306: 447-452. 10.1126/science.1102566. · DOI
  10. Damasio A, Tranel D, Damasio H: Somatic Markers and the Guidance of Behavior: Theory and Preliminary Testing. Frontal Lobe Function and Dysfunction. Edited by: S.Levin H, Eisenberg HM, Benton AL. 1991, New York , Oxford University Press, 217-229. · DOI
  11. Tranel D, Bechara A, Damasio A: Decision Making and the Somatic Marker Hypothesis. The new cognitive neurosciences. Edited by: Gazzaniga M. 2000, New York , MIT Press, 1047-1061.
  12. Tranel D: Emotion, Decision Making, and the Ventromedial Prefrontal Cortex. Principles of frontal lobe function. Edited by: Stuss DT, Knight RT. 2002, New York , Oxford University Press, 338-353. · DOI
  13. Bechara A, Damasio H, Tranel D, Damasio AR: Deciding advantageously before knowing the advantageous strategy. Science. 1997, 275: 1293-1295. 10.1126/science.275.5304.1293. · DOI · Paper page
  14. Bechara A: Neurobiology of decision-making: risk and reward. Semin Clin Neuropsychiatry. 2001, 6 (3): 205-216. 10.1053/scnp.2001.22927. · DOI
  15. Bechara A, Damasio H: Decision-making and addition (part I): impaire activation of somatic states in substance dependent individuals when pondering decisions with negative future consequences. Neuropsychologia. 2002, 40: 1675-1689. 10.1016/S0028-3932(02)00015-5. · DOI
  16. Bechara A, Dolan S, Hindes A: Decision-making and addition (part II): Myopia for the future or hypersensitivity to reward. Neuropsychologia. 2002, 40: 1690-1705. 10.1016/S0028-3932(02)00016-7. · DOI · Paper page
  17. Crone EA, van der Molen MW: Developmental changes in real life decision making: performance on a gambling task previously shown to depend on the ventromedial prefrontal cortex. Dev Neuropsychol. 2004, 25 (3): 251-279. 10.1207/s15326942dn2503_2. · DOI · Paper page
  18. Crone EA, Bunge SA, Latenstein H, van der Molen MW: Characterization of children's decision making: sensitivity to punishment frequency, not task complexity. Neuropsychol Dev Cogn C Child Neuropsychol. 2005, 11 (3): 245-263.
  19. North NT, O'Carroll RE: Decision making in patients with spinal cord damage: afferent feedback and the somatic marker hypothesis. Neuropsychologia. 2001, 39 (5): 521-524. 10.1016/S0028-3932(00)00107-X. · DOI
  20. Tomb I, Hauser M, Deldin P, Caramazza A: Do somatic markers mediate decisions on the gambling task?. Nature Neuroscience. 2002, 5: 1103-1104. 10.1038/nn1102-1103. · DOI
  21. Overman WH, Frassrand K, Ansel S, Trawalter S, Bies B, Redmond A: Performance on the IOWA card task by adolescents and adults. Neuropsychologia. 2004, 42 (13): 1838-1851. 10.1016/j.neuropsychologia.2004.03.014. · DOI
  22. Maia TV, McClelland JL: A reexamination of the evidence for the somatic marker hypothesis: what participants really know in the Iowa gambling task. Proc Natl Acad Sci U S A. 2004, 101 (45): 16075-16080. 10.1073/pnas.0406666101. · DOI · Paper page
  23. Wilder KE, Weinberger DR, Goldberg TE: Operant conditioning and the orbitofrontal cortex in schizophrenic patients: unexpected evidence for intact functioning. Schizophr Res. 1998, 30 (2): 169-174. 10.1016/S0920-9964(97)00135-7. · DOI · Paper page
  24. O'Carroll RE, Papps BP: Decision making in humans: the effect of manipulating the central noradrenergic system. J Neurol Neurosurg Psychiatry. 2003, 74 (3): 376-378. 10.1136/jnnp.74.3.376. · DOI
  25. Ritter LM, Meador-Woodruff JH, Dalack GW: Neurocognitive measures of prefrontal cortical dysfunction in schizophrenia. Schizophr Res. 2004, 68 (1): 65-73. 10.1016/S0920-9964(03)00086-0. · DOI
  26. Bark R, Dieckmann S, Bogerts B, Northoff G: Deficit in decision making in catatonic schizophrenia: an exploratory study. Psychiatry Res. 2005, 134 (2): 131-141. 10.1016/j.psychres.2004.04.013. · DOI · Paper page
  27. Chiu YC, Lin CH, Huang JT, Lin S, Lee PL, Hsieh JC: Immediate gain is long-term loss: Are there foresighted decision makers in Iowa gambling task?: September 15-18; Kiawah Island, South Carolina, U.S.A.2005, ,
  28. Herrnstein RJ: Formal properties of the matching law. J Exp Anal Behav. 1974, 21: 159-164. 10.1901/jeab.1974.21-159. · DOI
  29. Rachlin H: Introduction to modern behaviorism. 1991, New York , W. H. Freeman and Company, 3rd
  30. Schwartz B, Wasserman EA, Robbins SJ: Psychology of learning and Behavior. 2002, New York , W. W. Norton & Company, 5th
  31. Colman AM: Oxford Dictionary of Psychology. 2003, New York , Oxford University Press, 1st
  32. Mitropoulos A: An experiment on the value of structural information in a 2x2 repeated game. Econ Letters. 2003, 78: 27-32. 10.1016/S0165-1765(02)00174-X. · DOI
  33. Hastie R, Dawes RM: Rational Decision in an uncertainty world: The psychology of judgment and decision making. 2001, London , Sage Publications
  34. Baumeister R: The psychology of irrationality: Why people make foolish, self-defeating choices. The psychology of economics decisions: Volume I: Rationality and Well-Being. Edited by: Brocas ICJD. 2003, New York , Oxford University Press
  35. Berridge K: Irrational Pursuits: Hyper-Incentives from a Visceral Brain. The psychology of economics decisions:Volume I: Rationality and Well-Being. Edited by: Brocas ICJD. 2003, New York , Oxford University Press, 17-40. · DOI
  36. Panksepp J: Damasio’s Error. Consciousness and Emotion. 2003, 4: 111-134. · DOI
  37. Lichtenstein S, Slovic P, Zink DJ: Effect of instruction in expected value on optimality of gambling decisions. J Exp Psychol Gen. 1969, 79: 236-240. 10.1037/h0026888. · DOI
  38. Lin CH, Chiu YC, Lee PL, Hsieh JC: The preferences of decision-making in IOWA Gambling Task: The testing of frequency effect and long-term outcomes in Somatic Marker Hypothesis: Münster, Germany.2004, ,
  39. Suzuki A, Hirota A, Takasawa N, Shigemasu K: Application of the somatic marker hypothesis to individual differences in decision making. Biol Psychol. 2003, 65 (1): 81-88. 10.1016/S0301-0511(03)00093-0. · DOI
  40. Heims HC, Critchley HD, Dolan R, Mathias CJ, Cipolotti L: Social and motivational functioning is not critically dependent on feedback of autonomic responses: neuropsychological evidence from patients with pure autonomic failure. Neuropsychologia. 2004, 42 (14): 1979-1988. 10.1016/j.neuropsychologia.2004.06.001. · DOI

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Metadata

Authors
Lin, C.-H., Chiu, Y.-C., Lee, P.-L., & Hsieh, J.-C.
Venue
Behavioral and Brain Functions
Published
2007-03-15
Volume
3
Issue
1
ISSN
1744-9081
Cited by
111
References
10
Language
en

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