IDEAS home Printed from https://ideas.repec.org/a/sae/joudef/v18y2021i2p125-134.html
   My bibliography  Save this article

Prospect theory and its implications for adversarial decision-making

Author

Listed:
  • Adam T Biggs
  • Kyle A Pettijohn

Abstract

Modeling and simulation efforts depend upon accurate input to create viable representations and useful output information. When modeling human behavior, the challenge is often rationalizing sometimes irrational decisions. An existing cognitive model, prospect theory, has provided decades of research and insight into how relativistic differences and decision framing can significantly impact the decision-making process. If applied to security modeling and simulation, these findings can help predict differences in human behavior, which often differs significantly with regard to optimal decision-making or resource allocation strategies. The discussion presented here begins with some basic background for prospect theory and several existing attempts to incorporate these principles into modeling and simulation efforts thus far. Next, a detailed discussion is provided regarding how security and adversarial personnel factor into various prospect theory roles and classifications. Perhaps counter-intuitively, prospect theory would describe security personnel as engaging in risk-seeking behavior, suicidal adversaries as engaging in risk-averse behavior, and non-suicidal adversaries as being more susceptible to decision frames and relativistic differences. The discussion further describes how and why each of these assignments are made as well as implications for future modeling and simulation efforts.

Suggested Citation

  • Adam T Biggs & Kyle A Pettijohn, 2021. "Prospect theory and its implications for adversarial decision-making," The Journal of Defense Modeling and Simulation, , vol. 18(2), pages 125-134, April.
  • Handle: RePEc:sae:joudef:v:18:y:2021:i:2:p:125-134
    DOI: 10.1177/1548512919840445
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1548512919840445
    Download Restriction: no

    File URL: https://libkey.io/10.1177/1548512919840445?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    2. F. Owen Hoffman & Jana S. Hammonds, 1994. "Propagation of Uncertainty in Risk Assessments: The Need to Distinguish Between Uncertainty Due to Lack of Knowledge and Uncertainty Due to Variability," Risk Analysis, John Wiley & Sons, vol. 14(5), pages 707-712, October.
    3. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    4. Barbara Vis, 2011. "Prospect Theory and Political Decision Making," Political Studies Review, Political Studies Association, vol. 9(3), pages 334-343, September.
    5. George Wu & Richard Gonzalez, 1996. "Curvature of the Probability Weighting Function," Management Science, INFORMS, vol. 42(12), pages 1676-1690, December.
    6. Heath, Chip & Tversky, Amos, 1991. "Preference and Belief: Ambiguity and Competence in Choice under Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 4(1), pages 5-28, January.
    7. Arkes, Hal R. & Blumer, Catherine, 1985. "The psychology of sunk cost," Organizational Behavior and Human Decision Processes, Elsevier, vol. 35(1), pages 124-140, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ran Kivetz, 2003. "The Effects of Effort and Intrinsic Motivation on Risky Choice," Marketing Science, INFORMS, vol. 22(4), pages 477-502, December.
    2. George Wu & Richard Gonzalez, 1999. "Nonlinear Decision Weights in Choice Under Uncertainty," Management Science, INFORMS, vol. 45(1), pages 74-85, January.
    3. Gul, Faruk & Pesendorfer, Wolfgang, 2015. "Hurwicz expected utility and subjective sources," Journal of Economic Theory, Elsevier, vol. 159(PA), pages 465-488.
    4. Fox, Craig R. & Weber, Martin, 2002. "Ambiguity Aversion, Comparative Ignorance, and Decision Context," Organizational Behavior and Human Decision Processes, Elsevier, vol. 88(1), pages 476-498, May.
    5. Craig R. Fox & Amos Tversky, 1998. "A Belief-Based Account of Decision Under Uncertainty," Management Science, INFORMS, vol. 44(7), pages 879-895, July.
    6. Laure Cabantous & Denis Hilton, 2006. "De l'aversion à l'ambiguïté aux attitudes face à l'ambiguïté. Les apports d'une perspective psychologique en économie," Revue économique, Presses de Sciences-Po, vol. 57(2), pages 259-280.
    7. Kluger, Avraham N. & Stephan, Elena & Ganzach, Yoav & Hershkovitz, Meirav, 2004. "The effect of regulatory focus on the shape of probability-weighting function: Evidence from a cross-modality matching method," Organizational Behavior and Human Decision Processes, Elsevier, vol. 95(1), pages 20-39, September.
    8. José Lara Resende & George Wu, 2010. "Competence effects for choices involving gains and losses," Journal of Risk and Uncertainty, Springer, vol. 40(2), pages 109-132, April.
    9. Breuer, Wolfgang & Perst, Achim, 2007. "Retail banking and behavioral financial engineering: The case of structured products," Journal of Banking & Finance, Elsevier, vol. 31(3), pages 827-844, March.
    10. Stracca, Livio, 2004. "Behavioral finance and asset prices: Where do we stand?," Journal of Economic Psychology, Elsevier, vol. 25(3), pages 373-405, June.
    11. Mohammed Abdellaoui & Olivier L’Haridon & Horst Zank, 2010. "Separating curvature and elevation: A parametric probability weighting function," Journal of Risk and Uncertainty, Springer, vol. 41(1), pages 39-65, August.
    12. Che-Yuan Liang, 2017. "Optimal inequality behind the veil of ignorance," Theory and Decision, Springer, vol. 83(3), pages 431-455, October.
    13. Ariane Charpin, 2018. "Tests des modèles de décision en situation de risque. Le cas des parieurs hippiques en France," Revue économique, Presses de Sciences-Po, vol. 69(5), pages 779-803.
    14. Christoph Bühren & Thorben C. Kundt, 2013. "Worker or Shirker – Who Evades More Taxes? A Real Effort Experiment," MAGKS Papers on Economics 201326, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    15. Basieva, Irina & Khrennikova, Polina & Pothos, Emmanuel M. & Asano, Masanari & Khrennikov, Andrei, 2018. "Quantum-like model of subjective expected utility," Journal of Mathematical Economics, Elsevier, vol. 78(C), pages 150-162.
    16. Joost M. E. Pennings & Ale Smidts, 2003. "The Shape of Utility Functions and Organizational Behavior," Management Science, INFORMS, vol. 49(9), pages 1251-1263, September.
    17. Birnbaum, Michael H. & Zimmermann, Jacqueline M., 1998. "Buying and Selling Prices of Investments: Configural Weight Model of Interactions Predicts Violations of Joint Independence," Organizational Behavior and Human Decision Processes, Elsevier, vol. 74(2), pages 145-187, May.
    18. Greg Barron & Eldad Yechiam, 2009. "The coexistence of overestimation and underweighting of rare events and the contingent recency effect," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 4(6), pages 447-460, October.
    19. D. A. Peel & Jie Zhang & D. Law, 2008. "The Markowitz model of utility supplemented with a small degree of probability distortion as an explanation of outcomes of Allais experiments over large and small payoffs and gambling on unlikely outc," Applied Economics, Taylor & Francis Journals, vol. 40(1), pages 17-26.
    20. Oliver, Adam, 2003. "The internal consistency of the standard gamble: tests after adjusting for prospect theory," LSE Research Online Documents on Economics 159, London School of Economics and Political Science, LSE Library.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:joudef:v:18:y:2021:i:2:p:125-134. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.