IDEAS home Printed from https://ideas.repec.org/a/kap/revaec/v24y2011i1p1-17.html
   My bibliography  Save this article

Examining social processes with agent-based models

Author

Listed:
  • Chad Seagren

    ()

Abstract

No abstract is available for this item.

Suggested Citation

  • Chad Seagren, 2011. "Examining social processes with agent-based models," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 24(1), pages 1-17, March.
  • Handle: RePEc:kap:revaec:v:24:y:2011:i:1:p:1-17
    DOI: 10.1007/s11138-010-0128-y
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11138-010-0128-y
    Download Restriction: Access to full text is restricted to subscribers.

    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. Tesfatsion, Leigh, 2006. "Agent-Based Computational Economics: A Constructive Approach to Economic Theory," Handbook of Computational Economics,in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 16, pages 831-880 Elsevier.
    2. Epstein, Joshua M., 2006. "Remarks on the Foundations of Agent-Based Generative Social Science," Handbook of Computational Economics,in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 34, pages 1585-1604 Elsevier.
    3. Vriend, Nicolaas J., 2006. "ACE Models of Endogenous Interactions," Handbook of Computational Economics,in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 21, pages 1047-1079 Elsevier.
    4. Howitt, Peter & Clower, Robert, 2000. "The emergence of economic organization," Journal of Economic Behavior & Organization, Elsevier, vol. 41(1), pages 55-84, January.
    5. Robert Axtell, 2007. "What economic agents do: How cognition and interaction lead to emergence and complexity," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 20(2), pages 105-122, September.
    6. Randall Holcombe, 2009. "The behavioral foundations of Austrian economics," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 22(4), pages 301-313, December.
    7. Axelrod, Robert & Tesfatsion, Leigh, 2006. "A Guide for Newcomers to Agent-Based Modeling in the Social Sciences," Staff General Research Papers Archive 12515, Iowa State University, Department of Economics.
    8. Cowan, Robin & Rizzo, Mario J, 1996. "The Genetic-Causal Tradition and Modern Economic Theory," Kyklos, Wiley Blackwell, vol. 49(3), pages 273-317.
    9. Wander Jager, 2001. "Clustering and Fighting in Two-Party Crowds: Simulating the Approach-Avoidance Conflict," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 4(3), pages 1-7.
    10. Arthur, W. Brian, 2006. "Out-of-Equilibrium Economics and Agent-Based Modeling," Handbook of Computational Economics,in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 32, pages 1551-1564 Elsevier.
    11. Emily Chamlee-Wright & Virgil Storr, 2010. "Expectations of government’s response to disaster," Public Choice, Springer, vol. 144(1), pages 253-274, July.
    12. Kevin McCabe, 2005. "Reciprocity and Social Order: What Do Experiments Tell us About the Failure of Economic Growth?," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 18(3), pages 241-280, December.
    13. Marimon, Ramon & McGrattan, Ellen & Sargent, Thomas J., 1990. "Money as a medium of exchange in an economy with artificially intelligent agents," Journal of Economic Dynamics and Control, Elsevier, vol. 14(2), pages 329-373, May.
    14. Joshua M. Epstein & Robert L. Axtell, 1996. "Growing Artificial Societies: Social Science from the Bottom Up," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550253, January.
    15. Vernon Smith, 2005. "Hayek and Experimental Economics," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 18(2), pages 135-144, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alexander William Salter & Solomon Stein, 2016. "Endogenous currency formation in an online environment: The case of Diablo II," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 29(1), pages 53-66, March.
    2. Santiago J. Gangotena, 2017. "Dynamic coordinating non-equilibrium," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 30(1), pages 51-82, March.
    3. Sandye Gloria-Palermo, 2013. "Equilibrium versus Process: A Confrontation between Mainstream and Austrian Ontology," GREDEG Working Papers 2013-39, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), University of Nice Sophia Antipolis.
    4. Wagner, Richard E., 2012. "A macro economy as an ecology of plans," Journal of Economic Behavior & Organization, Elsevier, vol. 82(2), pages 433-444.
    5. Sandye Gloria-Palermo, 2013. "In Search of the Right Tool: From Formalism to Constructivist Modelling," GREDEG Working Papers 2013-33, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), University of Nice Sophia Antipolis.
    6. Sandye Gloria-Palermo, 2015. "Menger contre Walras," GREDEG Working Papers 2015-39, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), University of Nice Sophia Antipolis.

    More about this item

    Keywords

    Agent-based modeling; Methodology; B41; B53; C63;

    JEL classification:

    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
    • B53 - Schools of Economic Thought and Methodology - - Current Heterodox Approaches - - - Austrian
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

    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:kap:revaec:v:24:y:2011:i:1:p:1-17. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla) or (Rebekah McClure). General contact details of provider: http://www.springer.com .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.