IDEAS home Printed from https://ideas.repec.org/p/arx/papers/0801.0969.html
   My bibliography  Save this paper

Pareto and Boltzmann-Gibbs behaviors in a deterministic multi-agent system

Author

Listed:
  • J. Gonzalez-Estevez
  • M. G. Cosenza
  • R. Lopez-Ruiz
  • J. R. Sanchez

Abstract

A deterministic system of interacting agents is considered as a model for economic dynamics. The dynamics of the system is described by a coupled map lattice with near neighbor interactions. The evolution of each agent results from the competition between two factors: the agent's own tendency to grow and the environmental influence that moderates this growth. Depending on the values of the parameters that control these factors, the system can display Pareto or Boltzmann-Gibbs statistical behaviors in its asymptotic dynamical regime. The regions where these behaviors appear are calculated on the space of parameters of the system. Other statistical properties, such as the mean wealth, the standard deviation, and the Gini coefficient characterizing the degree of equity in the wealth distribution are also calculated on the space of parameters of the system.

Suggested Citation

  • J. Gonzalez-Estevez & M. G. Cosenza & R. Lopez-Ruiz & J. R. Sanchez, 2008. "Pareto and Boltzmann-Gibbs behaviors in a deterministic multi-agent system," Papers 0801.0969, arXiv.org.
    • Handle: RePEc:arx:papers:0801.0969
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/0801.0969
    File Function: Latest version
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Bagatella-Flores, N. & Rodríguez-Achach, M. & Coronel-Brizio, H.F. & Hernández-Montoya, A.R., 2015. "Wealth distribution of simple exchange models coupled with extremal dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 417(C), pages 168-175.
    2. R. Lopez-Ruiz & E. Shivanian & S. Abbasbandy & J. L. Lopez, 2011. "A Generalized Continuous Model for Random Markets," Papers 1104.2187, arXiv.org, revised May 2011.
    3. Asinari, Pietro & Chiavazzo, Eliodoro, 2014. "The notion of energy through multiple scales: From a molecular level to fluid flows and beyond," Energy, Elsevier, vol. 68(C), pages 870-876.
    4. Klaus Jaffe, 2014. "Visualizing the Invisible Hand of Markets: Simulating complex dynamic economic interactions," Papers 1412.6924, arXiv.org, revised Apr 2015.
    5. Klaus Jaffé, 2015. "Visualizing the Invisible Hand of Markets: Simulating Complex Dynamic Economic Interactions," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 22(2), pages 115-132, April.
    6. Ricardo Lopez-Ruiz & Jose-Luis Lopez & Xavier Calbet, 2011. "Exponential wealth distribution: a new approach from functional iteration theory," Papers 1103.1501, arXiv.org.

    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:arx:papers:0801.0969. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    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.