IDEAS home Printed from
   My bibliography  Save this paper

Spatial Restrictions And Coalition Formation: A Computational Approach


  • Benjamin Alamar

    (University of California)


This paper illustrates the lack of research in the area of the process by which coalitions formed. Showing how the questions regarding process have been previously ignored, it demonstrates their importance. Then motives for a computational approach are addressed. The main point being that in order to analyze coalition formation, we must allow agents to actually make decisions and form coalitions. Then a model of coalition formation around a public good is proposed that consists of agents that have the ability to move a make decisions, a tree structure that represents the agent's paths taken to form a coalition and an auctioneer who adjusts the tax rate at any given node in order to attract agents. Then an experiment, using the model, is defined in order to analyze the affects that spatial restrictions have on coalition formation. Finally potential applications and modifications of the model are discussed.

Suggested Citation

  • Benjamin Alamar, 2000. "Spatial Restrictions And Coalition Formation: A Computational Approach," Computing in Economics and Finance 2000 274, Society for Computational Economics.
  • Handle: RePEc:sce:scecf0:274

    Download full text from publisher

    File URL:
    Download Restriction: no

    More about this item


    Access and download statistics


    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:scecf0:274. 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: .

    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.