IDEAS home Printed from https://ideas.repec.org/a/eee/jeborg/v240y2025ics0167268125004494.html

Comparison of independence axiom violations across primates: Humans and monkeys

Author

Listed:
  • Seak, Leo Chi U
  • Jain, Ritesh
  • Nielsen, Kirby
  • Schultz, Wolfram
  • Ferrari-Toniolo, Simone

Abstract

The Independence Axiom (IA) of Expected Utility Theory (EUT) is crucial for defining the value representation of risky choice options. With the IA, EUT presents the first of many crucial tests for utility maximization and thus serves as a benchmark for consistent choice under risk. However, the IA is frequently violated, most likely due to subjective weighting of reward probabilities. IA violations have been reported separately in humans and monkeys, but differences in payoff structure compromised comparisons. To overcome these limitations, we used matching payoff structures for the two primate species. Choices in both humans and monkeys violated the IA in a broad range of reward probabilities. In some human participants, the IA violations correlated with those of the monkeys, which indicates a common underlying decision mechanism. In other cases, the IA violations differed between the two species and reflected differences in utility functions: utility was mostly concave in humans but convex in monkeys. These inter-species comparisons provide a basis for future behavioral and neuronal studies addressing the origin of similarities and differences in primates’ decisions under risk.

Suggested Citation

  • Seak, Leo Chi U & Jain, Ritesh & Nielsen, Kirby & Schultz, Wolfram & Ferrari-Toniolo, Simone, 2025. "Comparison of independence axiom violations across primates: Humans and monkeys," Journal of Economic Behavior & Organization, Elsevier, vol. 240(C).
  • Handle: RePEc:eee:jeborg:v:240:y:2025:i:c:s0167268125004494
    DOI: 10.1016/j.jebo.2025.107332
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167268125004494
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jebo.2025.107332?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
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Joseph A. Mikels & Andrew E. Reed, 2009. "Monetary Losses Do Not Loom Large in Later Life: Age Differences in the Framing Effect," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 64(4), pages 457-460.
    2. Christina McGranaghan & Kirby Nielsen & Ted O'Donoghue & Jason Somerville & Charles D. Sprenger, 2024. "Distinguishing Common Ratio Preferences from Common Ratio Effects Using Paired Valuation Tasks," American Economic Review, American Economic Association, vol. 114(2), pages 307-347, February.
    3. Ivan Moscati, 2016. "Retrospectives: How Economists Came to Accept Expected Utility Theory: The Case of Samuelson and Savage," Journal of Economic Perspectives, American Economic Association, vol. 30(2), pages 219-236, Spring.
    4. Francesca de Petrillo & Alexandra Rosati, 2021. "Variation in primate decision-making under uncertainty and the roots of human economic behaviour," Post-Print hal-03151858, HAL.
    5. 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.
    6. M. Keith Chen & Venkat Lakshminarayanan & Laurie R. Santos, 2006. "How Basic Are Behavioral Biases? Evidence from Capuchin Monkey Trading Behavior," Journal of Political Economy, University of Chicago Press, vol. 114(3), pages 517-537, June.
    7. John D. Hey & Chris Orme, 2018. "Investigating Generalizations Of Expected Utility Theory Using Experimental Data," World Scientific Book Chapters, in: Experiments in Economics Decision Making and Markets, chapter 3, pages 63-98, World Scientific Publishing Co. Pte. Ltd..
    8. Léon Tremblay & Wolfram Schultz, 1999. "Relative reward preference in primate orbitofrontal cortex," Nature, Nature, vol. 398(6729), pages 704-708, April.
    9. Kirby Nielsen & John Rehbeck, 2022. "When Choices Are Mistakes," American Economic Review, American Economic Association, vol. 112(7), pages 2237-2268, July.
    10. Alexandre Pastor-Bernier & Arkadiusz Stasiak & Wolfram Schultz, 2019. "Orbitofrontal signals for two-component choice options comply with indifference curves of Revealed Preference Theory," Nature Communications, Nature, vol. 10(1), pages 1-19, December.
    11. Harry Markowitz, 1952. "The Utility of Wealth," Journal of Political Economy, University of Chicago Press, vol. 60(2), pages 151-151.
    12. Shiva Farashahi & Christopher H. Donahue & Benjamin Y. Hayden & Daeyeol Lee & Alireza Soltani, 2019. "Flexible combination of reward information across primates," Nature Human Behaviour, Nature, vol. 3(11), pages 1215-1224, November.
    13. Michael L. Platt & Paul W. Glimcher, 1999. "Neural correlates of decision variables in parietal cortex," Nature, Nature, vol. 400(6741), pages 233-238, July.
    14. Simone Ferrari-Toniolo & Leo Chi U. Seak & Wolfram Schultz, 2022. "Risky choice: Probability weighting explains independence axiom violations in monkeys," Journal of Risk and Uncertainty, Springer, vol. 65(3), pages 319-351, December.
    15. Yaron Azrieli & Christopher P. Chambers & Paul J. Healy, 2018. "Incentives in Experiments: A Theoretical Analysis," Journal of Political Economy, University of Chicago Press, vol. 126(4), pages 1472-1503.
    16. Camillo Padoa-Schioppa & John A. Assad, 2006. "Neurons in the orbitofrontal cortex encode economic value," Nature, Nature, vol. 441(7090), pages 223-226, May.
    17. Pavlo Blavatskyy, 2007. "Stochastic expected utility theory," Journal of Risk and Uncertainty, Springer, vol. 34(3), pages 259-286, June.
    18. Daniel Serra, 2021. "Decision-making: from neuroscience to neuroeconomics—an overview," Theory and Decision, Springer, vol. 91(1), pages 1-80, July.
    19. M. Pelé & M. Broihanne & B. Thierry & J. Call & V. Dufour, 2014. "To bet or not to bet? Decision-making under risk in non-human primates," Journal of Risk and Uncertainty, Springer, vol. 49(2), pages 141-166, October.
    20. Weber, Bethany J. & Chapman, Gretchen B., 2005. "Playing for peanuts: Why is risk seeking more common for low-stakes gambles?," Organizational Behavior and Human Decision Processes, Elsevier, vol. 97(1), pages 31-46, May.
    21. You-Ping Yang & Xinjian Li & Veit Stuphorn, 2022. "Primate anterior insular cortex represents economic decision variables proposed by prospect theory," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    22. Pavlo Blavatskyy & Andreas Ortmann & Valentyn Panchenko, 2022. "On the Experimental Robustness of the Allais Paradox," American Economic Journal: Microeconomics, American Economic Association, vol. 14(1), pages 143-163, February.
    23. 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..
    24. James Andreoni & Charles Sprenger, 2012. "Risk Preferences Are Not Time Preferences," American Economic Review, American Economic Association, vol. 102(7), pages 3357-3376, December.
    25. Will Dabney & Zeb Kurth-Nelson & Naoshige Uchida & Clara Kwon Starkweather & Demis Hassabis & Rémi Munos & Matthew Botvinick, 2020. "A distributional code for value in dopamine-based reinforcement learning," Nature, Nature, vol. 577(7792), pages 671-675, January.
    26. Gonzalez, Cleotilde & Dana, Jason & Koshino, Hideya & Just, Marcel, 2005. "The framing effect and risky decisions: Examining cognitive functions with fMRI," Journal of Economic Psychology, Elsevier, vol. 26(1), pages 1-20, February.
    27. Brosnan, Sarah F. & Price, Sara A. & Leverett, Kelly & Prétôt, Laurent & Beran, Michael & Wilson, Bart J., 2017. "Human and monkey responses in a symmetric game of conflict with asymmetric equilibria," Journal of Economic Behavior & Organization, Elsevier, vol. 142(C), pages 293-306.
    28. Colin Camerer & George Loewenstein & Drazen Prelec, 2005. "Neuroeconomics: How Neuroscience Can Inform Economics," Journal of Economic Literature, American Economic Association, vol. 43(1), pages 9-64, March.
    29. Ritesh Jain & Kirby Nielsen, 2020. "A Systematic Test of the Independence Axiom Near Certainty," IEAS Working Paper : academic research 20-A001, Institute of Economics, Academia Sinica, Taipei, Taiwan.
    30. Ostermair, Christoph, 2022. "An experimental investigation of the Allais paradox with subjective probabilities and correlated outcomes," Journal of Economic Psychology, Elsevier, vol. 93(C).
    31. Blavatskyy, Pavlo R., 2013. "The reverse Allais paradox," Economics Letters, Elsevier, vol. 119(1), pages 60-64.
    32. Camerer, Colin F, 1989. "An Experimental Test of Several Generalized Utility Theories," Journal of Risk and Uncertainty, Springer, vol. 2(1), pages 61-104, April.
    33. Yaron Azrieli & Christopher P. Chambers & Paul J. Healy, 2020. "Incentives in experiments with objective lotteries," Experimental Economics, Springer;Economic Science Association, vol. 23(1), pages 1-29, March.
    34. Yu, Haihong & Liang, Yongchong & Wang, Ailian & Fan, Qi & Jin, Jia, 2022. "Pay online or pay on delivery? An ERP study of how payment methods affect online purchase decisions for search vs. experience products," Journal of Economic Psychology, Elsevier, vol. 91(C).
    35. Mark Schneider & Robert Day, 2018. "Target-Adjusted Utility Functions and Expected-Utility Paradoxes," Management Science, INFORMS, vol. 64(1), pages 271-287, January.
    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. Leo Chi U Seak & Simone Ferrari-Toniolo & Ritesh Jain & Kirby Nielsen & Wolfram Schultz, 2023. "Systematic comparison of risky choices in humans and monkeys," Working Papers 202316, University of Liverpool, Department of Economics.
    2. Simone Ferrari-Toniolo & Leo Chi U. Seak & Wolfram Schultz, 2022. "Risky choice: Probability weighting explains independence axiom violations in monkeys," Journal of Risk and Uncertainty, Springer, vol. 65(3), pages 319-351, December.
    3. Wan-Yu Shih & Hsiang-Yu Yu & Cheng-Chia Lee & Chien-Chen Chou & Chien Chen & Paul W. Glimcher & Shih-Wei Wu, 2023. "Electrophysiological population dynamics reveal context dependencies during decision making in human frontal cortex," Nature Communications, Nature, vol. 14(1), pages 1-24, December.
    4. Manel Baucells & Antonio Villasís, 2010. "Stability of risk preferences and the reflection effect of prospect theory," Theory and Decision, Springer, vol. 68(1), pages 193-211, February.
    5. Puerta, Inmaculada R. & Pinto, José Luis, 2025. "Can reference-dependent loss aversion explain choice behaviour?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 117(C).
    6. Pavlo Blavatskyy, 2011. "Loss aversion," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 46(1), pages 127-148, January.
    7. Uri Gneezy & Yoram Halevy & Brian Hall & Theo Offerman & Jeroen van de Ven, 2024. "How Real is Hypothetical? A High-Stakes Test of the Allais Paradox," Working Papers tecipa-783, University of Toronto, Department of Economics.
    8. Daniel R. Cavagnaro & Richard Gonzalez & Jay I. Myung & Mark A. Pitt, 2013. "Optimal Decision Stimuli for Risky Choice Experiments: An Adaptive Approach," Management Science, INFORMS, vol. 59(2), pages 358-375, February.
    9. Michael Birnbaum & Ulrich Schmidt, 2008. "An experimental investigation of violations of transitivity in choice under uncertainty," Journal of Risk and Uncertainty, Springer, vol. 37(1), pages 77-91, August.
    10. Georgalos, Konstantinos & Paya, Ivan & Peel, David A., 2021. "On the contribution of the Markowitz model of utility to explain risky choice in experimental research," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 527-543.
    11. Sumitava Mukherjee & Arvind Sahay & V. S. Chandrasekhar Pammi & Narayanan Srinivasan, 2017. "Is loss-aversion magnitude-dependent? Measuring prospective affective judgments regarding gains and losses," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 12(1), pages 81-89, January.
    12. Pavlo R. Blavatskyy, "undated". "A Stochastic Expected Utility Theory," IEW - Working Papers 231, Institute for Empirical Research in Economics - University of Zurich.
    13. Nathaniel T. Wilcox, 2015. "Error and Generalization in Discrete Choice Under Risk," Working Papers 15-11, Chapman University, Economic Science Institute.
    14. George Wu & Alex B. Markle, 2008. "An Empirical Test of Gain-Loss Separability in Prospect Theory," Management Science, INFORMS, vol. 54(7), pages 1322-1335, July.
    15. Peter Brooks & Simon Peters & Horst Zank, 2014. "Risk behavior for gain, loss, and mixed prospects," Theory and Decision, Springer, vol. 77(2), pages 153-182, August.
    16. James Cox & Vjollca Sadiraj & Ulrich Schmidt, 2015. "Paradoxes and mechanisms for choice under risk," Experimental Economics, Springer;Economic Science Association, vol. 18(2), pages 215-250, June.
    17. Pavlo Blavatskyy, 2018. "A second-generation disappointment aversion theory of decision making under risk," Theory and Decision, Springer, vol. 84(1), pages 29-60, January.
    18. Krzysztof Kontek & Michal Lewandowski, 2018. "Range-Dependent Utility," Management Science, INFORMS, vol. 64(6), pages 2812-2832, June.
    19. Steven J. Humphrey & Nadia-Yasmine Kruse, 2024. "Who accepts Savage’s axiom now?," Theory and Decision, Springer, vol. 96(1), pages 1-17, February.
    20. Charles-Cadogan, G., 2018. "Losses loom larger than gains and reference dependent preferences in Bernoulli’s utility function," Journal of Economic Behavior & Organization, Elsevier, vol. 154(C), pages 220-237.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General

    Statistics

    Access and download statistics

    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:eee:jeborg:v:240:y:2025:i:c:s0167268125004494. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jebo .

    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.