IDEAS home Printed from https://ideas.repec.org/a/jas/jasssj/2002-43-2.html
   My bibliography  Save this article

Cooperation with Random Interactions and Without Memory or "tags"

Author

Abstract

The self-organization into cooperative regimes of a system of "selfish" agents playing the pairwise Prisoner's Dilemma game (PDG) is analyzed using a simple agent-based model. At each time step t, the agents divide into those who cooperate (C) and those who defect (D). The agents have no memory and use strategies not based on direct reciprocity nor 'tags'. Only one dynamical variable is assigned to each agent, namely his income at time t dC(t) obtained by playing the PDG with a partner chosen at random. A simple adapting strategy for the behavior of the agents (C or D) is shown to give rise, for a wide variety of PD payoff matrices, to a cooperative regime resistant to ?always D? strategy.

Suggested Citation

  • Hugo Fort, 2003. "Cooperation with Random Interactions and Without Memory or "tags"," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 6(2), pages 1-4.
    • Handle: RePEc:jas:jasssj:2002-43-2
    as

    Download full text from publisher

    File URL: http://jasss.soc.surrey.ac.uk/6/2/4.html
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Tetsushi Ohdaira & Takao Terano, 2009. "Cooperation in the Prisoner's Dilemma Game Based on the Second-Best Decision," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(4), pages 1-7.

    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:jas:jasssj:2002-43-2. 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: Francesco Renzini (email available below). General contact details of provider: .

    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.