Skip to main content Accessibility help
×
Hostname: page-component-848d4c4894-2pzkn Total loading time: 0 Render date: 2024-06-03T07:40:23.068Z Has data issue: false hasContentIssue false

25 - Fuzzy-Trace Theory

Judgments, Decisions, and Neuroeconomics

from Part VII - New Horizons

Published online by Cambridge University Press:  01 February 2018

Alan Lewis
Affiliation:
University of Bath
Get access

Summary

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2018

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

25.5 References

Adam, M. B., and Reyna, V. F. (2005). Coherence and Correspondence Criteria for Rationality: Experts’ Estimation of Risks of Sexually Transmitted Infections. Journal of Behavioral Decision Making, 18(3), 169186. doi:10.1002/bdm.493.CrossRefGoogle Scholar
Allais, M. (1953). Le comportement de l’homme rationnel devant le risque: Critique des postulats et axiomes de l’école américaine. Econometrica, 21, 503546.CrossRefGoogle Scholar
Balleine, B. W., Delgado, M. R., and Hikosaka, O. (2007). The Role of the Dorsal Striatum in Reward and Decision-Making. Journal of Neuroscience, 27(31), 81618165.CrossRefGoogle ScholarPubMed
Bechara, A. (2005). Decision Making, Impulse Control and Loss of Willpower to Resist Drugs: A Neurocognitive Perspective. Nature Neuroscience, 8 (11), 14581463. doi: 10.1038/nn1584.CrossRefGoogle ScholarPubMed
Berns, G. S., Laibson, D., and Loewenstein, G. (2007). Intertemporal Choice: Toward an Integrative Framework. Trends in Cognitive Science, 11, 482488.CrossRefGoogle ScholarPubMed
Berridge, K. C. (2007). The Debate over Dopamine’s Role in Reward: The Case for Incentive Salience. Psychopharmacology, 191(3), 391431.CrossRefGoogle ScholarPubMed
Bickel, W. K., Jarmolowicz, D. P., Mueller, E. T., and Gatchalian, K. M. (2011). The Behavioral Economics and Neuroeconomics of Reinforcer Pathologies: Implications for Etiology and Treatment of Addiction. Current Psychiatry Reports, 13 (5), 406415. doi: 10.1007/s11920-011-0215-1.CrossRefGoogle ScholarPubMed
Blalock, S. J., and Reyna, V. F. (2016). Using Fuzzy-Trace Theory to Understand and Improve Health Judgments, Decisions, and Behaviors: A Literature Review. Health Psychology, 35(8), 781792.CrossRefGoogle ScholarPubMed
Brainerd, C. J., Reyna, V. F., and Ceci, S. J. (2008). Developmental Reversals in False Memory: A Review of Data and Theory. Psychological Bulletin, 134(3), 343382.CrossRefGoogle ScholarPubMed
Broniatowski, D. A., Klein, E. Y., and Reyna, V. F. (2015). Germs Are Germs, and Why Not Take a Risk?: Patients’ Expectations for Prescribing Antibiotics in an Inner City Emergency Department. Medical Decision Making, 35, 6067. doi: 10.1177/0272989X14553472.CrossRefGoogle Scholar
Brown, J. W., and Braver, T. S. (2008). A Computational Model of Risk, Conflict, and Individual Difference Effects in the Anterior Cingulate Cortex. Brain Research, 1202, 99108.CrossRefGoogle ScholarPubMed
Casey, B. J., and Caudle, K. (2013). The Teenage Brain: Self-Control. Current Directions in Psychological Science, 22(2), 8287. doi: 10.1177/0963721413480170.CrossRefGoogle ScholarPubMed
Casey, B. J., Jones, R. M., and Hare, T. A. (2008). The Adolescent Brain. Annals of the New York Academy of Sciences, 1124(1), 111126.CrossRefGoogle ScholarPubMed
Chapman, S. B., Gamino, J. G., and Mudar, R. A. (2012). Higher-Order Strategic Gist Reasoning in Adolescence. In Reyna, V. F, Chapman, S., Dougherty, M., and Confrey, J. (Eds.), The Adolescent Brain: Learning, Reasoning, and Decision Making (pp. 123152). Washington, DC: American Psychological Association.CrossRefGoogle Scholar
Chick, C. F., Reyna, V. F., and Corbin, J. C. (2016). Framing Effects Are Robust to Linguistic Disambiguation: A Critical Test of Contemporary Theory. Journal of Experimental Psychology: Learning, Memory, and Cognition. 42, 238256.Google ScholarPubMed
Chick, C.F. and Reyna, V.F. (2012). A fuzzy-trace theory of adolescent risk-taking: Beyond self-control and sensation seeking. In V. F. Reyna, S. Chapman, M. Dougherty, and J. Confrey (Eds.), The Adolescent Brain: Learning, Reasoning, and Decision Making (pp. 379–428). Washington, DC: American Psychological Association.Google Scholar
Corbin, J. C., Reyna, V.F., Weldon, R.B., and Brainerd, C.J. (2015). How Reasoning, Judgment, and Decision Making Are Colored by Gist-Based Intuition: A Fuzzy-Trace Theory Approach. Journal of Applied Research in Memory and Cognition. Journal of Applied Research in Memory and Cognition, 4, 344355.CrossRefGoogle ScholarPubMed
Cservenka, A., Herting, M. M., Seghete, K. L. M., Hudson, K. A., and Nagel, B. J. (2013). High and Low Sensation Seeking Adolescents Show Distinct Patterns of Brain Activity During Reward Processing. Neuroimage, 66, 184193.CrossRefGoogle ScholarPubMed
Defoe, I. N., Dubas, J. S., Figner, B., and Van Aken, M.A. (2014). A Meta-analysis on Age Differences in Risky Decision Making: Adolescents Versus Children and Adults. Psychological Bulletin, 141 (1), 4884. doi: 10.1037/a0038088.CrossRefGoogle ScholarPubMed
Dehaene, S., Molko, N., Cohen, L., and Wilson, A. J. (2004). Arithmetic and the Brain. Current Opinion in Neurobiology, 14(2), 218224.CrossRefGoogle ScholarPubMed
Dehaene, S., Piazza, M., Pinel, P., and Cohen, L. (2003). Three Parietal Circuits for Number Processing. Cognitive Neuropsychology, 20(3–6), 487506.CrossRefGoogle ScholarPubMed
Diekhof, E. K., Kaps, L., Falkai, P., and Gruber, O. (2012). The Role of the Human Ventral Striatum and the Medial Orbitofrontal Cortex in the Representation of Reward Magnitude: an Activation Likelihood Estimation Meta-analysis of Neuroimaging Studies of Passive Reward Expectancy and Outcome Processing. Neuropsychologia, 50(7), 12521266.CrossRefGoogle ScholarPubMed
De Martino, B., Kumaran, D., Seymour, B., and Dolan, R. J. (2006). Frames, Biases, and Rational Decision-Making in the Human Brain. Science, 313(5787), 684687.CrossRefGoogle ScholarPubMed
De Neys, W., and Vanderputte, K. (2011). When Less Is Not Always More: Stereotype Knowledge and Reasoning Development. Developmental Psychology, 47(2), 432441.CrossRefGoogle ScholarPubMed
Doyle, J. R. (2013). Survey of Time Preference, Delay Discounting Models. Judgment and Decision Making, 8, 116135.CrossRefGoogle Scholar
Evans, J. S. B. T., and Stanovich, K. E. (2013). Dual-Process Theories of Higher Cognition: Advancing the Debate. Perspectives on Psychological Science, 8(3), 223241. doi: 10.1177/1745691612460685.CrossRefGoogle ScholarPubMed
Figner, B., and Weber, E.U. (2011). Who Takes Risks When and Why? Determinants of Risk Taking. Current Directions in Psychological Science, 20(4), 211216. doi: 10.1177/0963721411415790.CrossRefGoogle Scholar
Fischer, G. W., and Hawkins, S. A. (1993). Strategy Compatibility, Scale Compatibility, and the Prominence Effect. Journal of Experimental Psychology: Human Perception and Performance, 29,580597.Google Scholar
Fitzgerald, T. H., Seymour, B., and Dolan, R. J. (2009). The Role of Human Orbitofrontal Cortex in Value Comparison for Incommensurable Objects. Journal of Neuroscience, 29, 83888395.CrossRefGoogle ScholarPubMed
Fox, C. R., and Poldrack, R. A. (2009). Prospect Theory and the Brain. In Glimcher, P. W, Camerer, C. F, Fehr, E., and Poldrack, R. A (Eds.), Neuroeconomics: Decision Making and the Brain (pp. 145173). London: Academic Press.CrossRefGoogle Scholar
Fox, C. R., and Tannenbaum, D.(2011). The Elusive Search for Stable Risk Preferences. Frontiers in Psychology. Published online November 15, 2011. doi: 10.3389/fpsyg.2011.00298.CrossRefGoogle ScholarPubMed
Fraenkel, L., Peters, E., Charpentier, P., Olsen, B., Errante, L., Schoen, R. T., and Reyna, V. (2012). Decision Tool to Improve the Quality of Care in Rheumatoid Arthritis. Arthritis Care and Research, 64(7), 977985.CrossRefGoogle ScholarPubMed
Frederick, S. (2005). Cognitive Reflection and Decision Making. Journal of Economic Perspectives, 19(4), 2542.CrossRefGoogle Scholar
Frederick, S., Loewenstein, G., and O’Donoghue, T. (2002). Time Discounting and Time Preference: A Critical Review. Journal of Economic Literature, 40, 351401. doi: 10.1257/jel.40.2.351.CrossRefGoogle Scholar
Fukukura, J., Ferguson, M. J., and Fujita, K. (2013). Psychological Distance Can Improve Decision Making Under Information Overload via Gist Memory. Journal of Experimental Psychology: General, 142(3), 658665. doi: 10.1037/a0030730.CrossRefGoogle ScholarPubMed
Galvan, A. (2012). Risky Behavior in Adolescents: The Role of the Developing Brain. In Reyna, V. F, Chapman, S. B, Dougherty, M. R, and Confrey, J. (Eds.), The Adolescent Brain: Learning, Reasoning, and Decision Making (pp. 267289). Washington, DC: American Psychological Association.CrossRefGoogle Scholar
Gonzalez, C., Dana, J., Koshino, H., and Just, M. (2005). The Framing Effect and Risky Decisions: Examining Cognitive Functions with fMRI. Journal of Economic Psychology, 26(1), 1–20.CrossRefGoogle Scholar
Glimcher, P. W., Camerer, C. F., Fehr, E., and Poldrack, R. A. (Eds.) (2009). Neuroeconomics: Decision making and the Brain. New York: Academic Press.Google Scholar
Green, L., Fry, A. F., and Myerson, J. (1994). Discounting of Delayed Rewards: A Life-Span Comparison. Psychological Science, 5(1), 33–36.CrossRefGoogle Scholar
Green, L., Myerson, J., Lichtman, D., Rosen, S., & Fry, A. (1996). Temporal Discounting in Choice between Delayed Rewards: The Role of Age and Income. Psychology and Aging, 11(1), 79–84.CrossRefGoogle Scholar
Hanoch, Y., Johnson, J. G., and Wilke, A. (2006). Domain Specificity in Experimental Measures and Participant Recruitment. Psychological Science, 17, 300304.CrossRefGoogle ScholarPubMed
Hare, T. A., Camerer, C. F., & Rangel, A. (2009). Self-Control in Decision-Making Involves Modulation of the vmPFC Valuation System. Science, 324, 646648. doi: 10.1126/science1168450.CrossRefGoogle ScholarPubMed
Jentsch, J. D., and Taylor, J. R. (1999). Impulsivity Resulting from Frontostriatal Dysfunction in Drug Abuse: Implications for the Control of Behavior by Reward-Related Stimuli. Psychopharmacology, 146, 373390.CrossRefGoogle ScholarPubMed
Kable, J. W., and Glimcher, P. W. (2007). The Neural Correlates of Subjective Value During Intertemporal Choice. Nature Neuroscience, 10, 16251633. doi: 10.1038/nn2007.CrossRefGoogle ScholarPubMed
Kable, J. W., and Glimcher, P. W. (2010). An “as Soon as Possible” Effect in Human Intertemporal Decision Making: Behavioral Evidence and Neural Mechanisms. Journal of Neurophysiology, 103(5), 25132531. doi: 10.1152/jn.00177.2009.CrossRefGoogle Scholar
Kable, J. W., and Levy, I. (2015). Neural Markers of Individual Differences in Decision-Making. Current Opinion in Behavioral Sciences, 5, 100107. doi: 10.1016/j.cobeha.2015.08.004.CrossRefGoogle ScholarPubMed
Kahneman, D. (2003). A Perspective on Judgment and Choice: Mapping Bounded Rationality. American Psycholigist, 58, 697720.CrossRefGoogle ScholarPubMed
Kahneman, D. (2011). Thinking Fast and Slow. London: Penguin.Google Scholar
Kahneman, D., and Tversky, A. (1979). Prospect Theory: An Analysis of Decision Under Risk. Econometrica, 47, 263291. doi: 10.2307/1914185.CrossRefGoogle Scholar
Kim, H, Shimojo, S., and O’Doherty, J. P. (2010). Overlapping Responses for the Expectation of Juice and Money Rewards in Human Ventromedial Prefrontal Cortex. Cerebral Cortex, 21, 769776.CrossRefGoogle ScholarPubMed
Kirby, K. N., (2009). One-Year Temporal Stability of Delay-Discount Rates. Psychonomic Bulletin and Review, 16, 457462.CrossRefGoogle ScholarPubMed
Koffarnus, M. N., Jarmolowicz, D. P., Mueller, E. T., and Bickel, W. K. (2013). Changing Delay Discounting in the Light of the Competing Neurobehavioral Decision Systems Theory: A Review. Journal of Experimental Analysis of Behavior, 99, 3257. doi: 10.1002/jeab.2.CrossRefGoogle ScholarPubMed
Kühberger, A., and Tanner, C. (2010). Risky Choice Framing: Task Versions and a Comparison of Prospect Theory and Fuzzy-Trace Theory. Journal of Behavioral Decision Making, 23(3), 314329. doi: 10.1002/bdm.656.CrossRefGoogle Scholar
Kurkela, K. A., and Dennis, N. A. (2016) Event-Related fMRI Studies of False Memories: An Activation Likelihood Estimation Meta-analysis. Neuropsychologia, 81, 149167.CrossRefGoogle ScholarPubMed
Kwak, Y., Payne, J. W., Cohen, A. L., and Huettel, S. A. (2015). The Rational Adolescent: Strategic Information Processing During Decision Making Revealed by Eye Tracking. Cognitive Development, 36, 2030. doi: 10.1016/j.cogdev.2015.08.001.CrossRefGoogle ScholarPubMed
Levy, D. J., and Glimcher, P. W. (2011). Comparing Apples and Oranges: Using Reward-Specific and Reward-General Subjective Value Representation in the Brain. Journal of Neuroscience, 31, 1469314707. doi: 10.1523/JNEUROSCI. 2218-11.2011.CrossRefGoogle ScholarPubMed
Levy, D. J., and Glimcher, P. W. (2012). The Root of All Value: A Neural Common Currency for Choice. Current Opinion in Neurobiology, 22, 10271038. doi: 10.1016/ j.conb.2012.06.001.CrossRefGoogle ScholarPubMed
Liberali, J. M., Reyna, V. F., Furlan, S., Stein, L. M., and Pardo, S. T. (2012). Individual Differences in Numeracy and Cognitive Reflection, with Implications for Biases and Fallacies in Probability Judgment. Journal of Behavioral Decision Making, 25(4), 361381.CrossRefGoogle ScholarPubMed
Lloyd, F. J., and Reyna, V. F. (2001). A Web Exercise in Evidence-Based Medicine Using Cognitive Theory. Journal of General Internal Medicine, 16(2), 9499. doi: 10.1111/j.1525-1497.2001.00214.x.CrossRefGoogle ScholarPubMed
Magen, E., Dweck, C. S., and Gross, J. J. (2008). The Hidden-Zero Effect: Representing a Single Choice as an Extended Sequence Reduces Impulsive Choice. Psychological Science, 19, 648649. doi: 10.1111/j.1467-9280.2008.02137.x.CrossRefGoogle ScholarPubMed
Magen, E., Kim, B., Dweck, C. S., Gross, J. J., McClure, S. M. (2014). Behavioral and Neural Correlates of Increased Self-Control in the Absence of Increased Willpower. Proceedings of the National Academy of Sciences of the United States of America, 111, 97869791. doi: 10.1073/pnas.1408991111.CrossRefGoogle ScholarPubMed
McClure, S. M., Ericson, K. M., Laibson, D. I., Loewenstein, G., and Cohen, J. D. (2007). Time Discounting for Primary Rewards. Journal of Neuroscience, 27, 57965804.CrossRefGoogle ScholarPubMed
Meade, C. S., Lowen, S. B., Maclean, R. R., Key, M. D., and Lukas, S. E. (2011). fMRI Brain Activation During a Delay Discounting Task in HIV-Positive Adults with and Without Cocaine Dependence. Psychiatry Research, 192 (3), 167175. doi: 10.1016/j.pscychresns.2010.12.011.CrossRefGoogle ScholarPubMed
Meschkow, A. S., Nolte, J., Garavito, D. M. N., Helm, R. K., Weldon, R. B., and Reyna, V. F. (in press). Risk Taking Across the Lifespan. In Bornstein, M. H. (Ed.), The SAGE Encyclopedia of Lifespan Human Development.Google Scholar
Mills, B., Reyna, V. F., and Estrada, S. (2008). Explaining Contradictory Relations Between Risk Perception and Risk Taking. Psychological Science, 19(5), 429433. doi: 10.1111/j.1467-9280.2008.02104.x.CrossRefGoogle ScholarPubMed
Nieder, A. (2016). The Neuronal Code for Number. Nature Reviews Neuroscience, 17, 366382.CrossRefGoogle ScholarPubMed
Odum, A. L. (2011). Delay Discounting: Trait Variable? Behavioural Processes, 87, 19. doi: 10.1016/j.beproc.2011.02.007.CrossRefGoogle ScholarPubMed
Ohmura, Y., Takahashi, T., Kitamura, N., and Wehr, P. (2006). Three-Month Stability of Delay and Probability Discounting Measures. Experimental and Clinical Psychopharmacology, 14 (3), 318328. doi: 10.1037/1064-1297.14.3.318.CrossRefGoogle ScholarPubMed
Peciña, S., and Berridge, K. C. (2005). Hedonic Hot Spot in Nucleus Accumbens Shell: Where Do μ-opioids Cause Increased Hedonic Impact of Sweetness? Journal of Neuroscience, 25(50), 1177711786.CrossRefGoogle ScholarPubMed
Peters, E. (2012). Beyond Comprehension: The Role of Numeracy in Judgments and Decisions. Current Directions in Psychological Science, 21(1), 3135.CrossRefGoogle Scholar
Peters, E., Slovic, P., Västfjäll, D., and Mertz, C. K. (2008). Intuitive Numbers Guide Decisions. Judgment and Decision Making, 3, 619635.CrossRefGoogle Scholar
Pfeifer, J. H., and Allen, N. B. (2012). Arrested Development? Reconsidering Dual-Systems Models of Brain Function in Adolescence and Disorders. Trends in Cognitive Sciences, 16, 322329. doi: 10.1016/j.tics.2012.04.011.CrossRefGoogle ScholarPubMed
Plassmann, H., O’Doherty, J., and Rangel, A. (2007). Orbitofrontal Cortex Encodes Willingness to Pay in Everyday Economic Transactions. Journal of Neuroscience, 27, 99849988. doi: 10.1523/JNEUROSCI.2131-07.2007.CrossRefGoogle ScholarPubMed
Jacobs, J. E., and Potenza, M. (1991). The Use of Judgement Heuristics to Make Social and Object Decisions: A Developmental Perspective. Child Development, 62(1), 166–178.CrossRefGoogle Scholar
Ramirez-Cardenas, A., Moskaleva, M., and Nieder, A. (2016). Neuronal Representation of Numerosity Zero in the Primate Parieto-Frontal Number Network. Current Biology, 26(10), 12851294.CrossRefGoogle ScholarPubMed
Rangel, A., Camerer, C., and Montague, R. (2008). A Framework for Studying the Neurobiology of Value-Based Decision-Making. Nature Reviews Neuroscience, 9, 545556.CrossRefGoogle ScholarPubMed
Reyna, V. F. (1996). Conceptions of Memory Development with Implications for Reasoning and Decision Making. Annals of Child Development, 12, 87118.Google Scholar
Reyna, V. F. (2004). How People Make Decisions That Involve Risk. Current Directions in Psychological Science, 13(2), 6066. doi: 10.1111/j.0963-7214.2004.00275.x.CrossRefGoogle Scholar
Reyna, V. F. (2008). A Theory of Medical Decision Making and health: Fuzzy-trace theory. Medical Decision Making, 28, 850–865.CrossRefGoogle Scholar
Reyna, V. F. (2011). Across the Lifespan. In Fischhoff, B., Brewer, N. T., and Downs, J. S., (Eds.), Communicating Risks and Benefits: An Evidence-Based User’s Guide (pp. 111119). Washington, DC: U.S. Department of Health and Human Services, Food and Drug Administration. Retrieved from www.fda.gov/ScienceResearch/SpecialTopics/RiskCommunication/default.htmGoogle Scholar
Reyna, V. F. (2012). A New Intuitionism: Meaning, Memory, and Development in Fuzzy-Trace Theory. Judgment and Decision Making, 7(3), 332359.CrossRefGoogle ScholarPubMed
Reyna, V. F., and Adam, M. B. (2003). Fuzzy-trace theory, risk communication, and product labeling in sexually transmitted diseases. Risk Analysis, 23, 325–342.CrossRefGoogle Scholar
Reyna, V. F., and Brainerd, C.J. (1991). Fuzzy-Trace Theory and Framing Effects in Choice: Gist Extraction, Truncation, and Conversion. Journal of Behavior and Decision Making, 4(4), 249262. doi: 10.1002/bdm.3960040403.CrossRefGoogle Scholar
Reyna, V. F., and Brainerd, C. J. (1994). The Origins of Probability Judgment: A Review of Data and Theories. In Wright, G. and Ayton, P. (Eds.), Subjective Probability (pp. 239272). New York: Wiley.Google Scholar
Reyna, V. F., and Brainerd, C. J. (1995). Fuzzy-Trace Theory: An Interim Synthesis. Learning and Individual Differences, 7 (1), 175. doi: 10.1016/1041–6080(95)90031–4.CrossRefGoogle Scholar
Reyna, V. F., and Brainerd, C. J. (2008). Numeracy, Ratio Bias, and Denominator Neglect in Judgments of Risk and Probability. Learning and Individual Differences, 18(1), 89107. doi: 10.1016/j.lindif.2007.03.011.CrossRefGoogle Scholar
Reyna, V. F., and Brainerd, C. J. (2011). Dual Processes in Decision Making and Developmental Neuroscience: A Fuzzy-Trace Model. Developmental Review, 31, 180206. doi: 10.1016/j.dr.2011.07.004.Google ScholarPubMed
Reyna, V. F., Chick, C. F., Corbin, J. C., and Hsia, A. N. (2014). Developmental Reversals in Risky Decision Making: Intelligence Agents Show Larger Decision Biases than College Students. Psychological Science, 25(1), 7684. doi: 10.1177/0956797613497022.CrossRefGoogle ScholarPubMed
Reyna, V. F., Corbin, J. C., Weldon, R. B., and Brainerd, C. J. (2016). How Fuzzy-Trace Theory Predicts True and False Memories for Words and Sentences. Journal of Applied Research in Memory and Cognition. 5(1), 19. doi: 10.1016/j.jarmac.2015.12.003.CrossRefGoogle ScholarPubMed
Reyna, V. F., and Ellis, S. C. (1994). Fuzzy-Trace Theory and Framing Effects in Children’s Risky Decision Making. Psychological Science, 5, 275279. doi: 10.1111/j.1467–9280.1994.tb00625.x.CrossRefGoogle Scholar
Reyna, V. F., Estrada, S. M., DeMarinis, J. A., Myers, R. M., Stanisz, J. M., and Mills, B. A. (2011). Neurobiological and Memory Models of Risky Decision Making in Adolescents Versus Young Adults. Journal of Experimental Psychology: Learning, Memory, and Cognition, 37(5), 11251142. doi: 10.1037/a0023943.Google ScholarPubMed
Reyna, V. F., and Farley, F. (2006). Risk and Rationality in Adolescent Decision Making. Psychological Science in the Public Interest, 7(1), 144. doi: 10.1111/j.1529-1006.2006.00026.x.CrossRefGoogle ScholarPubMed
Reyna, V. F., and Huettel, S. A. (2014). Reward, Representation, and Impulsivity: A Theoretical Framework for the Neuroscience of Risky Decision Making. In Reyna, V. F and Zayas, V. (Eds.), The Neuroscience of Risky Decision Making (pp. 1142). Washington, DC: American Psychological Association.CrossRefGoogle Scholar
Reyna, V. F., and Lloyd, F. J. (2006). Physician Decision Making and Cardiac Risk: Effects of Knowledge, Risk Perception, Risk Tolerance, and Fuzzy Processing. Journal of Experimental Psychology: Applied, 12(3), 179195. doi: 10.1037/1076-898X.12.3.179.Google ScholarPubMed
Reyna, V. F., and Mills, B. A. (2007). Interference Processes in Fuzzy-Trace Theory: Aging, Alzheimer’s Disease, and Development. In Gorfein, D. and MacLeod, C. (Eds.), Inhibition in Cognition (pp. 185210). Washington, DC: APA Press.CrossRefGoogle Scholar
Reyna, V. F., and Mills, B. A. (2014). Theoretically Motivated Interventions for Reducing Sexual Risk Taking in Adolescence: A Randomized Controlled Experiment Applying Fuzzy-Trace Theory. Journal of Experimental Psychology: General, 143(4), 16271648. doi: 10.1037/a0036717.CrossRefGoogle ScholarPubMed
Reyna, V. F., Nelson, W. L., Han, P. K., and Dieckmann, N. F. (2009). How Numeracy Influences Risk Comprehension and Medical Decision Making. Psychological Bulletin, 135(6), 943973.CrossRefGoogle ScholarPubMed
Reyna, V. F., Weldon, R. B., and McCormick, M. J. (2015a). Educating Intuition: Reducing Risky Decisions Using Fuzzy-Trace Theory. Current Directions in Psychological Science, 24(5), 392398. doi: 10.1177/0963721415588081.CrossRefGoogle ScholarPubMed
Reyna, V. F., Wilhelms, E. A., McCormick, M. J., and Weldon, R. B. (2015b). Development of Risky Decision Making: Fuzzy-Trace Theory and Neurobiological Perspectives. Child Development Perspectives, 9(2), 122127. doi: 10.1111/cdep.12117.CrossRefGoogle ScholarPubMed
Reyna, V. F., and Wilhelms, E. A. (2016). The Gist of Delay of Gratification: Understanding and Predicting Problem Behaviors. Journal of Behavioral Decision Making. Published online 10 AUG 2016. doi: 10.1002/bdm.1977.Google ScholarPubMed
Reynolds, B., and Schiffbauer, R. (2005). Delay of Gratification and Delay Discounting: A Unifying Feedback Model of Delay-Related Impulsive Behavior. Psychological Record, 55, 439460.CrossRefGoogle Scholar
Rivers, S. E., Reyna, V. F., and Mills, B. (2008). Risk Taking Under the Influence: A Fuzzy-Trace Theory of Emotion in Adolescence. Developmental Review, 28(1), 107144.CrossRefGoogle ScholarPubMed
Roiser, J. P., De Martino, B., Tan, G. C., Kumaran, D., Seymour, B., Wood, N. W., and Dolan, R. J. (2009). A Genetically Mediated Bias in Decision Making Driven by Failure of Amygdala Control. Journal of Neuroscience, 29(18), 59855991.CrossRefGoogle ScholarPubMed
Samuelson, P. A. (1947). Foundations of Economic Analysis. Science and Society, 13(1), 9395.Google Scholar
Savage, Leonard J. (1954). The Foundations of Statistics. New York: Wiley.Google Scholar
Simpson, C. A., and Vuchinich, R. E. (2000). Reliability of a Measure of Temporal Discounting. Psychological Records, 50 (1), 316.CrossRefGoogle Scholar
Stanovich, K. E., and West, R. F. (2008). On the Relative Independence of Thinking Biases and Cognitive Ability. Journal of Personality and Social Psychology, 94(4), 672–695. doi: 10.1037/0022-3514.94.4.672.CrossRefGoogle Scholar
Steinberg, L. (2008). A Social Neuroscience Perspective on Adolescent Risk Taking. Developmental Review, 28(1), 78106. doi: 10.1111/j.1467-8721.2007.00475.x.CrossRefGoogle ScholarPubMed
Tversky, A., and Kahneman, D. (1986). Rational Choice and the Framing of Decisions. Journal of Business, 59 (4), S251S278.CrossRefGoogle Scholar
Venkatraman, V., Payne, J. W., Bettman, J. R., Luce, M. F., and Huettel, S. A. (2009). Separate Neural Mechanisms Underlie Choices and Strategic Preferences in Risky Decision Making. Neuron, 62, 593602. doi: 10.1016/j.neuron.2009.04.007.CrossRefGoogle ScholarPubMed
Von Neumann, J., and Morgenstern, O. (1944). Theory of Games and Economic Behavior. Princeton, NJ: Princeton University Press.Google Scholar
Weber, E. U., Blais, A.-R., and Betz, E. (2002). A Domain-Specific Risk-Attitude Scale: Measuring Risk Perceptions and Risk Behaviors. Journal of Behavioral Decision Making, 15, 263290. doi: 10.1002/bdm.414.CrossRefGoogle Scholar
Weldon, R. B., Corbin, J. C., Garavito, D. M. N., and Reyna, V. F. (in press). The Gist Is Sophisticated Yet Simple: Fuzzy-Trace Theory’s Developmental Approach to Individual Differences in Judgment and Decision Making. In Toplak, M. and Weller, J. (Eds.), Individual Differences in Judgment and Decision Making from a Developmental Context.Google Scholar
Weldon, R. B., Corbin, J. C., and Reyna, V. F. (2013). Gist Processing in Judgment and Decision Making: Developmental Reversals Predicted by Fuzzy-Trace Theory. In Markovits, H. (Ed.), The Developmental Psychology of Reasoning and Decision-Making (pp. 3662). New York: Psychology Press.Google Scholar
Weller, J. A., Levin, I. P., and Denburg, N. L. (2011). Trajectory of Risky Decision Making for Potential Gains and Losses from Ages 5 to 85. Journal of Behavioral Decision Making, 24, 331344. doi: 10.1002/bdm.690.CrossRefGoogle Scholar
Wertheimer, M. (1938). Gestalt Theory. In Ellis, W. D (Ed.), A Source Book of Gestalt Psychology (pp. 111). London: Kegan Paul, Trench, Trubner.Google Scholar
Wilhelms, E. A., Corbin, J. C., and Reyna, V. F. (2015), Gist Memory in Reasoning and Decision Making. In Feeney, A. and Thompson, V. (Eds.), Reasoning as Memory (pp. 93109). New York: Psychology Press.Google Scholar
Wilhelms, E. A., Helm, R. K., Setton, R. A.,and Reyna, V. F. (2014). Fuzzy Trace Theory Explains Paradoxical Dissociations in Affective Forecasting. In Wilhelms, E. A., and Reyna, V. F. (Ed.), Neuroeconomics, Judgment, and Decision Making (pp. 4973), New York: Psychology Press.CrossRefGoogle Scholar
Wilhelms, E. A., Reyna, V. F., Brust-Renck, P.G., Weldon, R. B., and Corbin, J. C. (2015). Gist Representations and Communications of Risks about HIV-AIDS: A Fuzzy-Trace Theory Approach. Current HIV Research, 13(5), 399–407. doi: 10.2174/1570162X13666150511142748.CrossRefGoogle Scholar
Wolfe, C. R., Reyna, V. F., Widmer, C. L., Cedillos, E. M., Fisher, C. R., Brust-Renck, P. G., and Weil, A. M. (2015). Efficacy of a Web-Based Intelligent Tutoring System for Communicating Genetic Risk of Breast Cancer: A Fuzzy-Trace Theory Approach. Medical Decision Making, 35(1), 4659.CrossRefGoogle ScholarPubMed
Yechiam, E., and Telpaz, A. (2013). Losses Induce Consistency in Risk Taking Even Without Loss Aversion. Journal of Behavioral Decision Making, 26(1), 3140.CrossRefGoogle Scholar
Zayas, V., Mischel, W., and Pandey, G. (2014). Mind and Brain in Delay of Gratification. In Reyna, V. F and Zayas, V. (Eds.), The Neuroscience of Risky Decision Making (pp. 145176). Washington, DC: American Psychological Association.CrossRefGoogle Scholar
Zheng, H., Wang, X. T., and Zhu, L. (2010). Framing Effects: Behavioral Dynamics and Neural Basis. Neuropsychologia, 48(11), 31983204.CrossRefGoogle ScholarPubMed

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×