IDEAS home Printed from https://ideas.repec.org/a/spr/minsoc/v19y2020i2d10.1007_s11299-020-00245-1.html
   My bibliography  Save this article

Rational order from ‘irrational’ actions

Author

Listed:
  • Shyam Sunder

    (Yale University)

Abstract

Rational outcomes of a social system do not necessarily require its individual participants to be rational. In macro systems, aggregate properties distinct from the behavior of their micro level components can emerge through complex interactions. Caution in building social sciences on assumption of methodological individualism seems appropriate.

Suggested Citation

  • Shyam Sunder, 2020. "Rational order from ‘irrational’ actions," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 19(2), pages 317-321, November.
    • Handle: RePEc:spr:minsoc:v:19:y:2020:i:2:d:10.1007_s11299-020-00245-1
    DOI: 10.1007/s11299-020-00245-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11299-020-00245-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11299-020-00245-1?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Plott, Charles R & Sunder, Shyam, 1982. "Efficiency of Experimental Security Markets with Insider Information: An Application of Rational-Expectations Models," Journal of Political Economy, University of Chicago Press, vol. 90(4), pages 663-698, August.
    2. Plott, Charles R & Sunder, Shyam, 1988. "Rational Expectations and the Aggregation of Diverse Information in Laboratory Security Markets," Econometrica, Econometric Society, vol. 56(5), pages 1085-1118, September.
    3. Dhananjay K. Gode & Shyam Sunder, 1997. "What Makes Markets Allocationally Efficient?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 603-630.
    4. Gode, Dhananjay (Dan) K. & Sunder, Shyam, 2004. "Double auction dynamics: structural effects of non-binding price controls," Journal of Economic Dynamics and Control, Elsevier, vol. 28(9), pages 1707-1731, July.
    5. Gigerenzer, Gerd & Todd, Peter M. & ABC Research Group,, 2000. "Simple Heuristics That Make Us Smart," OUP Catalogue, Oxford University Press, number 9780195143812.
    6. Sean Crockett, 2008. "Learning competitive equilibrium in laboratory exchange economies," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 34(1), pages 157-180, January.
    7. Smith, Adam, 1977. "An Inquiry into the Nature and Causes of the Wealth of Nations," University of Chicago Press Economics Books, University of Chicago Press, number 9780226763743 edited by Cannan, Edwin, December.
    8. Vernon L. Smith, 1962. "An Experimental Study of Competitive Market Behavior," Journal of Political Economy, University of Chicago Press, vol. 70(3), pages 322-322.
    9. Martin Angerer & Juergen Huber & Martin Shubik & Shyam Sunder, 2010. "An economy with personal currency: theory and experimental evidence," Annals of Finance, Springer, vol. 6(4), pages 475-509, October.
    10. Huber, Juergen & Shubik, Martin & Sunder, Shyam, 2010. "Three minimal market institutions with human and algorithmic agents: Theory and experimental evidence," Games and Economic Behavior, Elsevier, vol. 70(2), pages 403-424, November.
    11. Gode, Dhananjay K & Sunder, Shyam, 1993. "Allocative Efficiency of Markets with Zero-Intelligence Traders: Market as a Partial Substitute for Individual Rationality," Journal of Political Economy, University of Chicago Press, vol. 101(1), pages 119-137, February.
    12. Arrow, Kenneth J, 1994. "Methodological Individualism and Social Knowledge," American Economic Review, American Economic Association, vol. 84(2), pages 1-9, May.
    13. Crockett, Sean & Spear, Stephen & Sunder, Shyam, 2008. "Learning competitive equilibrium," Journal of Mathematical Economics, Elsevier, vol. 44(7-8), pages 651-671, July.
    14. Jamal, Karim & Sunder, Shyam, 1996. "Bayesian equilibrium in double auctions populated by biased heuristic traders," Journal of Economic Behavior & Organization, Elsevier, vol. 31(2), pages 273-291, November.
    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. Karim Jamal & Michael Maier & Shyam Sunder, 2017. "Simple Agents, Intelligent Markets," Computational Economics, Springer;Society for Computational Economics, vol. 49(4), pages 653-675, April.
    2. Karim Jamal & Michael Maier & Shyam Sunder, 2012. "Decoupling Markets and Individuals: Rational Expectations Equilibrium Outcomes from Information Dissemination among Boundedly-Rational Traders," Cowles Foundation Discussion Papers 1868, Cowles Foundation for Research in Economics, Yale University.
    3. Karim Jamal & Michael Maier & Shyam Sunder, 2019. "Aggregation of Diverse Information with Double Auction Trading among Minimally-Intelligent Algorithmic Agents," Cowles Foundation Discussion Papers 2182, Cowles Foundation for Research in Economics, Yale University.
    4. Duffy, John, 2006. "Agent-Based Models and Human Subject Experiments," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 19, pages 949-1011, Elsevier.
    5. Giuseppe Attanasi & Samuele Centorrino & Elena Manzoni, 2020. "Zero-Intelligence vs. Human Agents: An Experimental Analysis of the Efficiency of Double Auctions and Over-the-Counter Markets of Varying Sizes," Working Papers 05/2020, University of Verona, Department of Economics.
    6. Choo, Lawrence, 2016. "Market competition for decision rights: An experiment based on the “Hat Puzzle Problem”," MPRA Paper 73408, University Library of Munich, Germany.
    7. Alex Richardson & Shirley Gregor & Richard Heaney, 2012. "Using decision support to manage the influence of cognitive abilities on share trading performance," Australian Journal of Management, Australian School of Business, vol. 37(3), pages 523-541, December.
    8. Jakob Grazzini, 2013. "Information dissemination in an experimentally based agent-based stock market," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(1), pages 179-209, April.
    9. Huber, Juergen & Shubik, Martin & Sunder, Shyam, 2010. "Three minimal market institutions with human and algorithmic agents: Theory and experimental evidence," Games and Economic Behavior, Elsevier, vol. 70(2), pages 403-424, November.
    10. Lu, Dong & Zhan, Yaosong, 2022. "Over-the-counter versus double auction in asset markets with near-zero-intelligence traders," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    11. Marco LiCalzi & Lucia Milone & Paolo Pellizzari, 2011. "Allocative Efficiency and Traders’ Protection Under Zero Intelligence Behavior," Dynamic Modeling and Econometrics in Economics and Finance, in: Herbert Dawid & Willi Semmler (ed.), Computational Methods in Economic Dynamics, pages 5-28, Springer.
    12. Ross M. Miller, 2012. "The Effect Of Boundary Conditions On Efficiency And Pricing In Double‐Auction Markets With Zero‐Intelligence Agents," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 19(3), pages 179-188, July.
    13. Sean Crockett, 2013. "Price Dynamics In General Equilibrium Experiments," Journal of Economic Surveys, Wiley Blackwell, vol. 27(3), pages 421-438, July.
    14. Shyam Sunder & MODELS A, 2002. "Markets as Artifacts: Aggregate Efficiency from Zero-Intelligence Traders," Yale School of Management Working Papers ysm284, Yale School of Management, revised 01 Sep 2004.
    15. Te Bao & Elizaveta Nekrasova & Tibor Neugebauer & Yohanes E. Riyanto, 2022. "Algorithmic trading in experimental markets with human traders: A literature survey," Chapters, in: Sascha Füllbrunn & Ernan Haruvy (ed.), Handbook of Experimental Finance, chapter 23, pages 302-322, Edward Elgar Publishing.
    16. Charles R. Plott, 2000. "Markets as Information Gathering Tools," Southern Economic Journal, John Wiley & Sons, vol. 67(1), pages 1-15, July.
    17. Paul Brewer & Maria Huang & Brad Nelson & Charles Plott, 2002. "On the Behavioral Foundations of the Law of Supply and Demand: Human Convergence and Robot Randomness," Experimental Economics, Springer;Economic Science Association, vol. 5(3), pages 179-208, December.
    18. Lange, Andreas & Ross, Johannes, 2024. "Internalizing match-dependent externalities," Journal of Economic Behavior & Organization, Elsevier, vol. 218(C), pages 356-378.
    19. Nuzzo, Simone & Morone, Andrea, 2017. "Asset markets in the lab: A literature review," Journal of Behavioral and Experimental Finance, Elsevier, vol. 13(C), pages 42-50.
    20. Christoph Huber & Christian König-Kersting & Matteo M. Marini, 2022. "Experimenting with Financial Professionals," Working Papers 2022-07, Faculty of Economics and Statistics, Universität Innsbruck, revised Jun 2024.

    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:spr:minsoc:v:19:y:2020:i:2:d:10.1007_s11299-020-00245-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.