IDEAS home Printed from https://ideas.repec.org/a/sae/joupea/v27y1990i3p307-319.html
   My bibliography  Save this article

On Bounded Rationality and the Framing of Decisions in International Relations: Towards a Dynamic Network Model of World Politics

Author

Listed:
  • Jan Faber

    (Department of Gamma-Informatics, Utrecht University)

Abstract

This article reflects the feedback of empirical research on theorizing about international relations. The empirical results obtained by both Faber (1987a) and Houweling & Siccama (1988) can be explained by the theory of risky prospects developed by Tversky & Kahneman (1981). As this theory is easily integrated into Simon's concept of bounded rationality in human decision-taking, a theoretical framework for the explanation of international relations based on the resulting theoretical notions concerning human decision-taking is developed. Accordingly, decision-taking by governments concerning international relations is conceived to be steered by their bounded rationality with respect to their behavioural options and interaction opportunities and the goal of minimizing losses in their relative power positions with respect to foreign as well as domestic contenders. Because military power capabilities are not equally distributed across the member-states of the international system, the relative power positions of nations result in group-formation among them due to either actual domination or fear of domination. The dynamics of group-interactions is argued to give rise to global stability in international relations. When the power position of a nation deteriorates and the dynamics of group-interactions is absent the probability of an outbreak of war rises sharply.

Suggested Citation

  • Jan Faber, 1990. "On Bounded Rationality and the Framing of Decisions in International Relations: Towards a Dynamic Network Model of World Politics," Journal of Peace Research, Peace Research Institute Oslo, vol. 27(3), pages 307-319, August.
  • Handle: RePEc:sae:joupea:v:27:y:1990:i:3:p:307-319
    as

    Download full text from publisher

    File URL: http://jpr.sagepub.com/content/27/3/307.abstract
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Buscema, Massimo & Ferilli, Guido & Sacco, Pier Luigi, 2017. "What kind of ‘world order’? An artificial neural networks approach to intensive data mining," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 46-56.

    More about this item

    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:sae:joupea:v:27:y:1990:i:3:p:307-319. 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: SAGE Publications (email available below). General contact details of provider: http://www.prio.no/ .

    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.