IDEAS home Printed from https://ideas.repec.org/p/war/wpaper/2026-8.html

Keynes vs. Kolmogorov: Two Axiomatics of Probability

Author

Listed:
  • Jakub Ryłow

    (University of Warsaw, Faculty of Economic Sciences)

Abstract

The paper examines the logical theory of probability formulated by John Maynard Keynes in A Treatise on Probability (1921) as an axiomatic project competing with the measure-theoretic approach codified by Andrei Kolmogorov in Grundbegriffe der Wahrscheinlichkeitsrechnung (1933). Beyond a synthetic comparison of both systems and their contemporary successors, the paper makes two original contributions. First, we identify and formally prove the Boolean presupposition of Ramsey's Dutch book argument: the argument establishes only a conditional result — if the event domain is a Boolean algebra, then coherence requires classical probability — whose antecedent is precisely what Keynes's partial order postulate denies. Ramsey therefore did not refute Keynesian logicism unconditionally; he refuted it within a domain whose universality Keynes contested. This formalises, using the Wroński–Godziszewski (2016) theorem, a gap in the standard history of the debate that has gone unnamed in the literature. Second, we propose the imprecision index of a credal set as the first candidate formal analogue of Keynes's weight of evidence within the established framework of imprecise probabilities.

Suggested Citation

  • Jakub Ryłow, 2026. "Keynes vs. Kolmogorov: Two Axiomatics of Probability," Working Papers 2026-8, Faculty of Economic Sciences, University of Warsaw.
  • Handle: RePEc:war:wpaper:2026-8
    as

    Download full text from publisher

    File URL: https://www.wne.uw.edu.pl/download_file/7138/4282
    File Function: First version, 2026
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. repec:cup:astinb:v:23:y:1993:i:02:p:213-225_01 is not listed on IDEAS
    2. Daniel Ellsberg, 1961. "Risk, Ambiguity, and the Savage Axioms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 75(4), pages 643-669.
    3. Lars Peter Hansen & Thomas J Sargent, 2014. "Robust Control and Model Uncertainty," World Scientific Book Chapters, in: UNCERTAINTY WITHIN ECONOMIC MODELS, chapter 5, pages 145-154, World Scientific Publishing Co. Pte. Ltd..
    4. England, P.D. & Verrall, R.J., 2002. "Stochastic Claims Reserving in General Insurance," British Actuarial Journal, Cambridge University Press, vol. 8(3), pages 443-518, August.
    5. Zoubin Ghahramani, 2015. "Probabilistic machine learning and artificial intelligence," Nature, Nature, vol. 521(7553), pages 452-459, May.
    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. Florian Mudekereza, 2025. "Robust Aggregation of Preferences," Papers 2504.07401, arXiv.org, revised Feb 2026.
    2. Claudio A. Bonilla & Pablo A. Gutiérrez Cubillos, 2021. "The effects of ambiguity on entrepreneurship," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 30(1), pages 63-80, February.
    3. Carvalho, M., 2012. "Static vs Dynamic Auctions with Ambiguity Averse Bidders," Other publications TiSEM 1f078e67-88ec-46e3-ae18-1, Tilburg University, School of Economics and Management.
    4. Loïc Berger & Louis Eeckhoudt, 2021. "Risk, Ambiguity, and the Value of Diversification," Management Science, INFORMS, vol. 67(3), pages 1639-1647, March.
    5. Oliver Walker & Simon Dietz, 2012. "Ambiguity and insurance: robust capital requirements and premiums," GRI Working Papers 97, Grantham Research Institute on Climate Change and the Environment.
    6. Brian Hill, 2009. "Confidence and ambiguity," Working Papers hal-00489870, HAL.
    7. Anastasios G. Karantounias, 2020. "Model Uncertainty and Policy Design," Policy Hub, Federal Reserve Bank of Atlanta, vol. 2020(17), pages 1-16, December.
    8. Blavatskyy, Pavlo R., 2013. "Two examples of ambiguity aversion," Economics Letters, Elsevier, vol. 118(1), pages 206-208.
    9. Yu Liu & Hao Wang & Tan Wang & Lihong Zhang, 2025. "Volatility Ambiguity, Portfolio Decisions, and Equilibrium Asset Pricing," Management Science, INFORMS, vol. 71(6), pages 5185-5203, June.
    10. Claudio Michelacci & Luigi Paciello, 2020. "Aggregate Risk or Aggregate Uncertainty? Evidence from UK Households," EIEF Working Papers Series 2006, Einaudi Institute for Economics and Finance (EIEF), revised Apr 2020.
    11. Gérard Mondello, 2021. "Uncertainty And Information Sources' Reliability," Working Papers halshs-03502603, HAL.
    12. Thomas Breuer & Martin Summer, 2013. "Stress Test Robustness: Recent Advances and Open Problems," Financial Stability Report, Oesterreichische Nationalbank (Austrian Central Bank), issue 25, pages 74-86.
    13. Zhang, Jinping & Zhou, Lei & Zou, Zhentao, 2024. "Robust dynamic trading with realization utility," Economics Letters, Elsevier, vol. 244(C).
    14. Jianjun Miao, 2009. "Ambiguity, Risk and Portfolio Choice under Incomplete Information," Annals of Economics and Finance, Society for AEF, vol. 10(2), pages 257-279, November.
    15. repec:rza:wpaper:240 is not listed on IDEAS
    16. Dandan Song & Wenwei Wang, 2026. "Dynamic Innovation under Model Uncertainty," Annals of Economics and Finance, Society for AEF, vol. 27(1), pages 145-168, May.
    17. Brock, W. A. & Xepapadeas, A., "undated". "Modeling Coupled Climate, Ecosystems, and Economic Systems," Climate Change and Sustainable Development 206837, Fondazione Eni Enrico Mattei (FEEM).
    18. Matthew Kovach, 2024. "Ambiguity and partial Bayesian updating," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 78(1), pages 155-180, August.
    19. Hill, Brian, 2023. "Beyond uncertainty aversion," Games and Economic Behavior, Elsevier, vol. 141(C), pages 196-222.
    20. Loïc Berger & Massimo Marinacci, 2020. "Model Uncertainty in Climate Change Economics: A Review and Proposed Framework for Future Research," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 77(3), pages 475-501, November.
    21. Chateauneuf, Alain & Faro, José Heleno, 2009. "Ambiguity through confidence functions," Journal of Mathematical Economics, Elsevier, vol. 45(9-10), pages 535-558, September.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

    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:war:wpaper:2026-8. 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: Jacek Rapacz (email available below). General contact details of provider: https://edirc.repec.org/data/fesuwpl.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.