IDEAS home Printed from https://ideas.repec.org/p/zbw/safewp/401.html
   My bibliography  Save this paper

Decoding GPT's hidden "rationality" of cooperation

Author

Listed:
  • Bauer, Kevin
  • Liebich, Lena
  • Hinz, Oliver
  • Kosfeld, Michael

Abstract

In current discussions on large language models (LLMs) such as GPT, understanding their ability to emulate facets of human intelligence stands central. Using behavioral economic paradigms and structural models, we investigate GPT's cooperativeness in human interactions and assess its rational goal-oriented behavior. We discover that GPT cooperates more than humans and has overly optimistic expectations about human cooperation. Intriguingly, additional analyses reveal that GPT's behavior isn't random; it displays a level of goal-oriented rationality surpassing human counterparts. Our findings suggest that GPT hyper-rationally aims to maximize social welfare, coupled with a strive of self-preservation. Methodologically, our research highlights how structural models, typically employed to decipher human behavior, can illuminate the rationality and goal-orientation of LLMs. This opens a compelling path for future research into the intricate rationality of sophisticated, yet enigmatic artificial agents.

Suggested Citation

  • Bauer, Kevin & Liebich, Lena & Hinz, Oliver & Kosfeld, Michael, 2023. "Decoding GPT's hidden "rationality" of cooperation," SAFE Working Paper Series 401, Leibniz Institute for Financial Research SAFE.
    • Handle: RePEc:zbw:safewp:401
    DOI: 10.2139/ssrn.4576036
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/277755/1/1860169848.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.2139/ssrn.4576036?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. Yiting Chen & Tracy Xiao Liu & You Shan & Songfa Zhong, 2023. "The emergence of economic rationality of GPT," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 120(51), pages 2316205120-, December.
    2. Miettinen, Topi & Kosfeld, Michael & Fehr, Ernst & Weibull, Jörgen, 2020. "Revealed preferences in a sequential prisoners’ dilemma: A horse-race between six utility functions," Journal of Economic Behavior & Organization, Elsevier, vol. 173(C), pages 1-25.
    3. Fulin Guo, 2023. "GPT in Game Theory Experiments," Papers 2305.05516, arXiv.org, revised Dec 2023.
    4. John J. Horton, 2023. "Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus?," NBER Working Papers 31122, National Bureau of Economic Research, Inc.
    5. Kosinski, Michal, 2023. "Theory of Mind May Have Spontaneously Emerged in Large Language Models," Research Papers 4086, Stanford University, Graduate School of Business.
    6. Charness, Gary & Rabin, Matthew, 2002. "Understanding Social Preferences with Simple Tests," Department of Economics, Working Paper Series qt3d04q5sm, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    7. Ernst Fehr & Urs Fischbacher, 2003. "The nature of human altruism," Nature, Nature, vol. 425(6960), pages 785-791, October.
    8. Charness, Gary & Rabin, Matthew, 2001. "Understanding Social Preferences with Simple Tests," Department of Economics, Working Paper Series qt4qz9k8vg, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    9. Gary Charness & Matthew Rabin, 2002. "Understanding Social Preferences with Simple Tests," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(3), pages 817-869.
    10. Katharine Sanderson, 2023. "GPT-4 is here: what scientists think," Nature, Nature, vol. 615(7954), pages 773-773, March.
    11. John J. Horton, 2023. "Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus?," Papers 2301.07543, arXiv.org.
    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. Felix Kölle & Simone Quercia & Egon Tripodi, 2023. "Social Preferences under the Shadow of the Future," Rationality and Competition Discussion Paper Series 406, CRC TRR 190 Rationality and Competition.
    2. Bauer, Kevin & Pfeuffer, Nicolas & Abdel-Karim, Benjamin M. & Hinz, Oliver & Kosfeld, Michael, 2020. "The terminator of social welfare? The economic consequences of algorithmic discrimination," SAFE Working Paper Series 287, Leibniz Institute for Financial Research SAFE.
    3. José Ignacio Rivero Wildemauwe, 2023. "Moral motivations in sequential buyer-seller interactions with adverse selection," THEMA Working Papers 2023-11, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    4. Sylvie Thoron, 2016. "Morality Beyond Social Preferences: Smithian Sympathy, Social Neuroscience and the Nature of Social Consciousness [La moralité au delà des préférences sociales. La sympathie Smithienne, les neurosc," Post-Print hal-01645043, HAL.
    5. Christian Hilbe & Moshe Hoffman & Martin A. Nowak, 2015. "Cooperate without Looking in a Non-Repeated Game," Games, MDPI, vol. 6(4), pages 1-15, September.
    6. Andrea Essl & Frauke von Bieberstein & Michael Kosfeld & Markus Kröll, 2018. "Sales Performance and Social Preferences," CESifo Working Paper Series 7030, CESifo.
    7. Gächter, Simon & Lee, Kyeongtae & Sefton, Martin & Weber, Till O., 2024. "The role of payoff parameters for cooperation in the one-shot Prisoner's Dilemma," European Economic Review, Elsevier, vol. 166(C).
    8. András Molnár & Christophe Heintz, 2016. "Beliefs About People’s Prosociality Eliciting predictions in dictator games," CEU Working Papers 2016_1, Department of Economics, Central European University.
    9. Alger, Ingela & Rivero-Wildemauwe, José Ignacio, 2024. "Doing the right thing (or not) in a lemons-like situation: on the role of social preferences and Kantian moral concerns," IAST Working Papers 24-161, Institute for Advanced Study in Toulouse (IAST).
    10. Tor Eriksson & Lei Mao & Marie Claire Villeval, 2017. "Saving face and group identity," Experimental Economics, Springer;Economic Science Association, vol. 20(3), pages 622-647, September.
    11. Bogliacino, Francesco & Codagnone, Cristiano, 2021. "Microfoundations, behaviour, and evolution: Evidence from experiments," Structural Change and Economic Dynamics, Elsevier, vol. 56(C), pages 372-385.
    12. Kim, Jeongbin & Putterman, Louis & Zhang, Xinyi, 2022. "Trust, Beliefs and Cooperation: Excavating a Foundation of Strong Economies," European Economic Review, Elsevier, vol. 147(C).
    13. Osório, António, 2017. "Self-interest and equity concerns: A behavioural allocation rule for operational problems," European Journal of Operational Research, Elsevier, vol. 261(1), pages 205-213.
    14. Jang, Chaning & Lynham, John, 2015. "Where do social preferences come from?," Economics Letters, Elsevier, vol. 137(C), pages 25-28.
    15. Simon Gaechter & Kyeongtae Lee & Martin Sefton, 2022. "The Variability of Conditional Cooperation in Sequential Prisoner's Dilemmas," Discussion Papers 2022-10, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    16. Frank A. Cowell, 2008. "Income Distribution and Inequality," Chapters, in: John B. Davis & Wilfred Dolfsma (ed.), The Elgar Companion to Social Economics, chapter 13, Edward Elgar Publishing.
    17. Arthur Schram, 2005. "Artificiality: The tension between internal and external validity in economic experiments," Journal of Economic Methodology, Taylor & Francis Journals, vol. 12(2), pages 225-237.
    18. Bruttel, Lisa & Stolley, Florian, 2020. "Getting a yes. An experiment on the power of asking," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 86(C).
    19. Malte Baader & Simon Gaechter & Kyeongtae Lee & Martin Sefton, 2022. "Social Preferences and the Variability of Conditional Cooperation," CESifo Working Paper Series 9924, CESifo.
    20. Michal Bauer & Julie Chytilová & Barbara Pertold-Gebicka, 2014. "Parental background and other-regarding preferences in children," Experimental Economics, Springer;Economic Science Association, vol. 17(1), pages 24-46, March.

    More about this item

    Keywords

    large language models; cooperation; goal orientation; economic rationality;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:zbw:safewp:401. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/csafede.html .

    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.