IDEAS home Printed from https://ideas.repec.org/a/eee/dyncon/v24y2000i4p483-499.html
   My bibliography  Save this article

Learning the optimum as a Nash equilibrium

Author

Listed:
  • Ozyildirim, Suheyla
  • Alemdar, Nedim M.

Abstract

No abstract is available for this item.

Suggested Citation

  • Ozyildirim, Suheyla & Alemdar, Nedim M., 2000. "Learning the optimum as a Nash equilibrium," Journal of Economic Dynamics and Control, Elsevier, vol. 24(4), pages 483-499, April.
  • Handle: RePEc:eee:dyncon:v:24:y:2000:i:4:p:483-499
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165-1889(99)00012-3
    Download Restriction: Full text for ScienceDirect subscribers only

    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. Arifovic, Jasmina, 1994. "Genetic algorithm learning and the cobweb model," Journal of Economic Dynamics and Control, Elsevier, vol. 18(1), pages 3-28, January.
    2. Mercenier, Jean & Michel, Philippe, 1994. "Discrete-Time Finite Horizon Appromixation of Infinite Horizon Optimization Problems with Steady-State Invariance," Econometrica, Econometric Society, vol. 62(3), pages 635-656, May.
    3. Alemdar, Nedim M. & Ozyildirim, Suheyla, 1998. "A genetic game of trade, growth and externalities," Journal of Economic Dynamics and Control, Elsevier, vol. 22(6), pages 811-832, June.
    4. 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.
    5. Hallett, A. Hughes & Ma, Y. & Yin, Y. P., 1996. "Hybrid algorithms with automatic switching for solving nonlinear equation systems," Journal of Economic Dynamics and Control, Elsevier, vol. 20(6-7), pages 1051-1071.
    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. Gomez-Ramirez, E. & Najim, K. & Poznyak, A. S., 2003. "Saddle-point calculation for constrained finite Markov chains," Journal of Economic Dynamics and Control, Elsevier, vol. 27(10), pages 1833-1853, August.
    2. S. Sirakaya & Stephen Turnovsky & M. Alemdar, 2006. "Feedback Approximation of the Stochastic Growth Model by Genetic Neural Networks," Computational Economics, Springer;Society for Computational Economics, vol. 27(2), pages 185-206, May.
    3. Alemdar, Nedim M. & Sirakaya, Sibel, 2003. "On-line computation of Stackelberg equilibria with synchronous parallel genetic algorithms," Journal of Economic Dynamics and Control, Elsevier, vol. 27(8), pages 1503-1515, June.

    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:eee:dyncon:v:24:y:2000:i:4:p:483-499. 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: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/jedc .

    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.