IDEAS home Printed from https://ideas.repec.org/p/ehl/lserod/57315.html
   My bibliography  Save this paper

Cheap talk, reinforcement learning, and the emergence of cooperation

Author

Listed:
  • Alexander, J. McKenzie

Abstract

Cheap talk has often been thought incapable of supporting the emergence of cooperation because costless signals, easily faked, are unlikely to be reliable (Zahavi and Zahavi, 1997). I show how, in a social network model of cheap talk with reinforcement learning, cheap talk does enable the emergence of cooperation, provided that individuals also temporally discount the past. This establishes one mechanism that suffices for moving a population of initially uncooperative individuals to a state of mutually beneficial cooperation even in the absence of formal institutions.

Suggested Citation

  • Alexander, J. McKenzie, 2015. "Cheap talk, reinforcement learning, and the emergence of cooperation," LSE Research Online Documents on Economics 57315, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:57315
    as

    Download full text from publisher

    File URL: http://eprints.lse.ac.uk/57315/
    File Function: Open access version.
    Download Restriction: no
    ---><---

    More about this item

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics

    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:ehl:lserod:57315. 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: LSERO Manager (email available below). General contact details of provider: https://edirc.repec.org/data/lsepsuk.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.