IDEAS home Printed from https://ideas.repec.org/p/eab/microe/22391.html

Understanding Fundamentalist Belief Through Bayesian Updating

Author

Listed:
  • Srijit Mishra

    (Indira Gandhi Institute of Development Research)

Abstract

Using Bayesian updating to deterministic priors persistence of fundamentalist belief like those in the mind of a terrorist is explained. Under such belief system if conditional evidence is diametrically opposite and also deterministic then a process of change will set in and in the present war against terrorism this can be effectively done through Islamic religious authorities. In situations where interaction is the basis, self-defeating scenarios can be avoided by giving space to others. Thus, in the political sphere one has to be accommodative about the concerns of Middle East, this will also make things easier for intervention through Islam.

Suggested Citation

  • Srijit Mishra, 2003. "Understanding Fundamentalist Belief Through Bayesian Updating," Microeconomics Working Papers 22391, East Asian Bureau of Economic Research.
    • Handle: RePEc:eab:microe:22391
    as

    Download full text from publisher

    File URL: http://www.eaber.org/node/22391
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. John B. Davis & D. W. Hands & Uskali Mäki (ed.), 1998. "The Handbook of Economic Methodology," Books, Edward Elgar Publishing, number 741.
    2. Kuhn, H.W. & Harsanyi, J.C. & Selten, R. & Weibull, J.W. & van Damme, E.E.C. & Nash Jr, J.F. & Hammerstein, P., 1995. "The work of John F. Nash Jr. in game theory," Other publications TiSEM fe698573-e6d1-4080-866e-7, Tilburg University, School of Economics and Management.
    3. Borgers, Tilman, 1996. "On the Relevance of Learning and Evolution to Economic Theory," Economic Journal, Royal Economic Society, vol. 106(438), pages 1374-1385, September.
    4. Alberto Baccini, 2001. "Frequentist Probability and Choice under Uncertainty," History of Political Economy, Duke University Press, vol. 33(4), pages 743-772, Winter.
    5. Kandori, Michihiro & Mailath, George J & Rob, Rafael, 1993. "Learning, Mutation, and Long Run Equilibria in Games," Econometrica, Econometric Society, vol. 61(1), pages 29-56, January.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. is not listed on IDEAS
    2. Srijit Mishra, 2011. "Conflict Resolution through Mutuality: Lessons from Bayesian Updating," Journal of Quantitative Economics, The Indian Econometric Society, vol. 9(1), pages 41-52.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Srijit Mishra, 2011. "Conflict Resolution through Mutuality: Lessons from Bayesian Updating," Journal of Quantitative Economics, The Indian Econometric Society, vol. 9(1), pages 41-52.
    2. Ponti, Giovanni, 2000. "Continuous-time evolutionary dynamics: theory and practice," Research in Economics, Elsevier, vol. 54(2), pages 187-214, June.
    3. Yefimov, Vladimir, 2009. "Comparative historical institutional analysis of German, English and American economics," MPRA Paper 48173, University Library of Munich, Germany.
    4. Maarten C.W. Janssen, 1997. "Focal Points," Tinbergen Institute Discussion Papers 97-091/1, Tinbergen Institute.
    5. Michael Kosfeld, 2002. "Stochastic strategy adjustment in coordination games," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 20(2), pages 321-339.
    6. Anthonisen, Niels, 1997. "On the Convergence of Beliefs within Populations in Games with Learning," Journal of Economic Theory, Elsevier, vol. 76(1), pages 169-184, September.
    7. Ianni, A., 2002. "Reinforcement learning and the power law of practice: some analytical results," Discussion Paper Series In Economics And Econometrics 203, Economics Division, School of Social Sciences, University of Southampton.
    8. Takuya Sekiguchi, 2023. "Fixation Probabilities of Strategies for Trimatrix Games and Their Applications to Triadic Conflict," Dynamic Games and Applications, Springer, vol. 13(3), pages 1005-1033, September.
    9. repec:mje:mjejnl:v:12:y:2017:i:2:p:25-70 is not listed on IDEAS
    10. Itzhak Gilboa & Andrew Postlewaite & Larry Samuelson & David Schmeidler, 2014. "A Model of Modeling," PIER Working Paper Archive 14-026, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    11. Jun Honda, 2015. "Games with the Total Bandwagon Property," Department of Economics Working Papers wuwp197, Vienna University of Economics and Business, Department of Economics.
    12. Bergstrom, Theodore C & Stark, Oded, 1993. "How Altruism Can Prevail in an Evolutionary Environment," American Economic Review, American Economic Association, vol. 83(2), pages 149-155, May.
    13. , & , & ,, 2008. "Monotone methods for equilibrium selection under perfect foresight dynamics," Theoretical Economics, Econometric Society, vol. 3(2), June.
    14. Basov, S., 2001. "An Evolutionary Model of Reciprocity," Department of Economics - Working Papers Series 812, The University of Melbourne.
    15. Ball, Richard, 2017. "Violations of monotonicity in evolutionary models with sample-based beliefs," Economics Letters, Elsevier, vol. 152(C), pages 100-104.
    16. Alos-Ferrer, Carlos & Ania, Ana B., 2001. "Local equilibria in economic games," Economics Letters, Elsevier, vol. 70(2), pages 165-173, February.
    17. Olivier Compte & Andrew Postlewaite, 2007. "Effecting Cooperation," PIER Working Paper Archive 09-019, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 29 May 2009.
    18. van Damme, E.E.C., 1995. "Game theory : The next stage," Other publications TiSEM 7779b0f9-bef5-45c7-ae6b-7, Tilburg University, School of Economics and Management.
    19. Norman, Thomas W.L., 2009. "Rapid evolution under inertia," Games and Economic Behavior, Elsevier, vol. 66(2), pages 865-879, July.
    20. Enrico Zaninotto & Alessandro Rossi & Loris Gaio, 1999. "Stochastic learning in coordination games: a simulation approach," Quaderni DISA 015, Department of Computer and Management Sciences, University of Trento, Italy, revised 29 Jun 2003.
    21. John T. Scholz & Cheng‐Lung Wang, 2009. "Learning to Cooperate: Learning Networks and the Problem of Altruism," American Journal of Political Science, John Wiley & Sons, vol. 53(3), pages 572-587, July.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • A13 - General Economics and Teaching - - General Economics - - - Relation of Economics to Social Values
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General

    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:eab:microe:22391. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Shiro Armstrong (email available below). General contact details of provider: https://edirc.repec.org/data/eaberau.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.