IDEAS home Printed from https://ideas.repec.org/a/wly/fufsci/v3y2021i2ne92.html
   My bibliography  Save this article

The simulation manifesto: A commentary on Lustick and Tetlock 2021

Author

Listed:
  • Scott E. Page

Abstract

No abstract is available for this item.

Suggested Citation

  • Scott E. Page, 2021. "The simulation manifesto: A commentary on Lustick and Tetlock 2021," Futures & Foresight Science, John Wiley & Sons, vol. 3(2), June.
  • Handle: RePEc:wly:fufsci:v:3:y:2021:i:2:n:e92
    DOI: 10.1002/ffo2.92
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/ffo2.92
    Download Restriction: no

    File URL: https://libkey.io/10.1002/ffo2.92?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. Holland, John H & Miller, John H, 1991. "Artificial Adaptive Agents in Economic Theory," American Economic Review, American Economic Association, vol. 81(2), pages 365-371, 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. Marco Casari, 2002. "Can genetic algorithms explain experimental anomalies? An application to common property resources," UFAE and IAE Working Papers 542.02, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    2. Benoît Desmarchelier & Faridah Djellal & Faïz Gallouj, 2018. "Public Service Innovation Networks (PSINs): Collaborating for Innovation and Value Creation," Working Papers halshs-01934275, HAL.
    3. Casari, Marco, 2008. "Markets in equilibrium with firms out of equilibrium: A simulation study," Journal of Economic Behavior & Organization, Elsevier, vol. 65(2), pages 261-276, February.
    4. Ian McCarthy, 2008. "Simulating Sequential Search Models with Genetic Algorithms: Analysis of Price Ceilings, Taxes, Advertising and Welfare," CAEPR Working Papers 2008-010, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    5. Tamotsu Onozaki, 2018. "Nonlinearity, Bounded Rationality, and Heterogeneity," Springer Books, Springer, number 978-4-431-54971-0, January.
    6. Alexander Gorobets & Bart Nooteboom, 2006. "Adaptive Build-up and Breakdown of Trust: An Agent Based Computational Approach," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 10(3), pages 277-306, September.
    7. Tay, Nicholas S.P. & Lusch, Robert F., 2005. "A preliminary test of Hunt's General Theory of Competition: using artificial adaptive agents to study complex and ill-defined environments," Journal of Business Research, Elsevier, vol. 58(9), pages 1155-1168, September.
    8. Gaivoronskaia, E. & Tsyplakov, A., 2018. "Using a Modified Erev-Roth Algorithm in an Agent-Based Electricity Market Model," Journal of the New Economic Association, New Economic Association, vol. 39(3), pages 55-83.
    9. Furtado, Bernardo Alves & Eberhardt, Isaque Daniel Rocha, 2015. "Modelo espacial simples da economia: uma proposta teórico-metodológica [A simple spatial economic model: a proposal]," MPRA Paper 67005, University Library of Munich, Germany.
    10. Fontana, Magda, 2010. "Can neoclassical economics handle complexity? The fallacy of the oil spot dynamic," Journal of Economic Behavior & Organization, Elsevier, vol. 76(3), pages 584-596, December.
    11. Kathleen M. Carley & David M. Svoboda, 1996. "Modeling Organizational Adaptation as a Simulated Annealing Process," Sociological Methods & Research, , vol. 25(1), pages 138-168, August.
    12. Leigh Tesfatsion, 1998. "Teaching Agent-Based Computational Economics to Graduate Students," Computational Economics 9809001, University Library of Munich, Germany, revised 16 Nov 1998.
    13. Lilian N. Alessa & Melinda Laituri & C. Michael Barton, 2006. "An "All Hands" Call to the Social Science Community: Establishing a Community Framework for Complexity Modeling Using Agent Based Models and Cyberinfrastructure," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(4), pages 1-6.
    14. Gita Surie, 2017. "Achieving Sustainability: Insights from Biogas Ecosystems in India," Agriculture, MDPI, vol. 7(2), pages 1-20, February.
    15. Miller, John H., 1996. "The coevolution of automata in the repeated Prisoner's Dilemma," Journal of Economic Behavior & Organization, Elsevier, vol. 29(1), pages 87-112, January.
    16. Richard N. Langlois & Nicolai J. Foss, 1999. "Capabilities and Governance: The Rebirth of Production in the Theory of Economic Organization," Kyklos, Wiley Blackwell, vol. 52(2), pages 201-218, May.
    17. Theo S Eicher & Klaas vant Veld, 2000. "Search in Research: An Evolutionary Approach to Technical Change and Growth"," Discussion Papers in Economics at the University of Washington 0005, Department of Economics at the University of Washington.
    18. Vinícius Ferraz & Thomas Pitz, 2024. "Analyzing the Impact of Strategic Behavior in an Evolutionary Learning Model Using a Genetic Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 63(2), pages 437-475, February.
    19. Perfetto, Maria Concetta & Vargas-Sánchez, Alfonso & Presenza, Angelo, 2016. "Managing A Complex Adaptive Ecosystem: Towards A Smart Management Of Industrial Heritage Tourism," Journal of Tourism, Sustainability and Well-being, Cinturs - Research Centre for Tourism, Sustainability and Well-being, University of Algarve, vol. 4(3), pages 243-264.
    20. Scott E. Page, 1992. "Political Parties and Electoral Landscapes," Discussion Papers 997, Northwestern University, Center for Mathematical Studies in Economics and Management Science.

    More about this item

    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:wly:fufsci:v:3:y:2021:i:2:n:e92. 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1002/(ISSN)2573-5152 .

    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.