IDEAS home Printed from https://ideas.repec.org/p/sce/cplx03/08.html
   My bibliography  Save this paper

Collective Dynamics of Interacting Agents when Driven by PAM

Author

Listed:
  • Rainer Hegselmann

    () (Department of Philosophy, University of Bayreuth, Germany)

  • Ulrich Krause

    () (Department of Mathematics, University of Bremen, Germany)

Abstract

The paper treats opinion dynamics under bounded confidence when agents employ, beside an arithmetic mean, means like a geometric mean, a power mean or a random mean in aggregating opinions. The different kinds of collective dynamics resulting for these means are studied and compared by simulations. Particular attention is given to the random mean which is a new concept introduced in this paper. All those concrete means are just particular cases of a PAM, that is a partial abstract mean, which also is a new concept. Such a PAM is investigated also analytically and it is shown in particular, that the collective dynamics for a PAM always stabilizes in a fragmented pattern of opinions.

Suggested Citation

  • Rainer Hegselmann & Ulrich Krause, "undated". "Collective Dynamics of Interacting Agents when Driven by PAM," Modeling, Computing, and Mastering Complexity 2003 08, Society for Computational Economics.
  • Handle: RePEc:sce:cplx03:08
    as

    Download full text from publisher

    File URL: http://zai.ini.unizh.ch/www_complexity2003/doc/Paper_Hegselmann.pdf
    Download Restriction: no

    More about this item

    Keywords

    interacting agents; collective dynamics; opinion dynamics;

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • D74 - Microeconomics - - Analysis of Collective Decision-Making - - - Conflict; Conflict Resolution; Alliances; Revolutions

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:sce:cplx03:08. 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: (Christopher F. Baum). General contact details of provider: http://edirc.repec.org/data/sceeeea.html .

    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 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.

    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.