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Understanding fundamentalist belief through Bayesian updating

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Author Info

  • 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.

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File URL: http://www.igidr.ac.in/pdf/publication/WP-2003-002.pdf
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Bibliographic Info

Paper provided by Indira Gandhi Institute of Development Research, Mumbai, India in its series Indira Gandhi Institute of Development Research, Mumbai Working Papers with number 2003-002.

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Length: 11 pages
Date of creation: Dec 2002
Date of revision:
Handle: RePEc:ind:igiwpp:2003-002

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Related research

Keywords: Bayesian updating; fundamentalist belief; interaction; variation;

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References

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  1. Srijit Mishra, 2002. "Understanding fundamentalist belief through Bayesian updating," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2003-002, Indira Gandhi Institute of Development Research, Mumbai, India.
  2. Llussá, Fernanda & Tavares, José, 2007. "Economics and Terrorism: What We Know, What We Should Know and the Data We Need," CEPR Discussion Papers 6509, C.E.P.R. Discussion Papers.
  3. Alberto Baccini, 2001. "Frequentist Probability and Choice under Uncertainty," History of Political Economy, Duke University Press, vol. 33(4), pages 743-772, Winter.
  4. Borgers, Tilman, 1996. "On the Relevance of Learning and Evolution to Economic Theory," Economic Journal, Royal Economic Society, vol. 106(438), pages 1374-85, September.
  5. Kuhn, H.W. & Harsanyi, J.C. & Selten, R. & Weibull, J.W. & Damme, E.E.C. van & Nash Jr, J.F. & Hammerstein, P., 1995. "The work of John F. Nash Jr. in game theory," Open Access publications from Tilburg University urn:nbn:nl:ui:12-154411, Tilburg University.
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Cited by:
  1. Srijit Mishra, 2011. "Conflict resolution through mutuality: Lessons from Bayesian updating," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2011-001, Indira Gandhi Institute of Development Research, Mumbai, India.
  2. Srijit Mishra, 2002. "Understanding fundamentalist belief through Bayesian updating," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2003-002, Indira Gandhi Institute of Development Research, Mumbai, India.

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