IDEAS home Printed from https://ideas.repec.org/a/ris/sphecs/0113.html
   My bibliography  Save this article

Mas Approach To Political Prospection And Alliance Analysis

Author

Listed:
  • PROTO, Araceli N.

    (Laboratorio de Sistemas Complejos, Facultad de Ingenieréa Comision de Investigaciones Cientificas, Universidad de Buenos Aires, Argentina)

  • COSTEA, Carmen

    (Faculty of Commerce, ASE Bucharest)

Abstract

The generalization of the Lotka-Volterra model (GLVM), to the N agents case is used in this contribution. The model is applied to model party alliances before election processes, as well as to prospect the final horizons of different candidates in Argentinian future elections which will take place on October 2011. The parameters of the model are setting using public polls. Romanian polls are used to validate the ansatz about the meaning of the parameters considering the available data, as this election results are known.

Suggested Citation

  • PROTO, Araceli N. & COSTEA, Carmen, 2011. "Mas Approach To Political Prospection And Alliance Analysis," Annals of Spiru Haret University, Economic Series, Universitatea Spiru Haret, vol. 2(1), pages 73-80.
  • Handle: RePEc:ris:sphecs:0113
    as

    Download full text from publisher

    File URL: http://anale-economie.spiruharet.ro/en/wp-content/uploads/2014/03/8_Araceli-Proto_Carmen-Costea.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Multi Agent Systems; Politic analysis; Behaviour; Socio-economic uncertainty; New paradigms;
    All these keywords.

    JEL classification:

    • E61 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Policy Objectives; Policy Designs and Consistency; Policy Coordination

    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:ris:sphecs:0113. 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: Aurelian A BONDREA or Constantin Mecu (email available below). General contact details of provider: https://edirc.repec.org/data/ffuspro.html .

    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.