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Game Theory Without Partitions, and Applications to Speculation and Consensus

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Author Info
John Geanakoplos () (Cowles Foundation, Yale University)
Abstract

Decision theory and game theory are extended to allow for information processing errors. This extended theory is then used to reexamine market speculation and consensus, both when all actions (opinions) are common knowledge and when they may not be. Five axioms of information processing are shown to be especially important to speculation and consensus. They are called nondelusion, knowing that you know, nested, balanced, and positively balanced. We show that it is necessary and sufficient that each agent's information processing errors be nondeluded and (1) balanced so that the agents cannot agree to disagree, (2) positively balanced so that it cannot be common knowledge that they are speculating, and (3) KTYK and nested so that agents cannot speculate in equilibrium. Each condition is strictly weaker than the next one, and the last is strictly weaker than partition information.

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File URL: http://cowles.econ.yale.edu/P/cd/d09a/d0914.pdf
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Publisher Info
Paper provided by Cowles Foundation, Yale University in its series Cowles Foundation Discussion Papers with number 914.

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Length: 33 pages
Date of creation: May 1989
Date of revision:
Handle: RePEc:cwl:cwldpp:914

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Postal: Yale University, Box 208281, New Haven, CT 06520-8281 USA
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Web page: http://cowles.econ.yale.edu/
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Postal: Cowles Foundation, Yale University, Box 208281, New Haven, CT 06520-8281 USA

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Related research
Keywords: Game theory; decision theory; speculation; consensus; information; common knowledge;

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Dubey, Pradeep & Geanakoplos, John & Shubik, Martin, 1987. "The revelation of information in strategic market games : A critique of rational expectations equilibrium," Journal of Mathematical Economics, Elsevier, vol. 16(2), pages 105-137, April. [Downloadable!] (restricted)
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. John Geanakoplos, 1993. "Common Knowledge," Cowles Foundation Discussion Papers 1062, Cowles Foundation, Yale University. [Downloadable!]
  2. Frédéric KOESSLER, 2002. "Strategic Knowledge Sharing in Bayesian Games: A General Model," Working Papers of BETA 2002-01, Bureau d'Economie Théorique et Appliquée, ULP, Strasbourg. [Downloadable!]
  3. Felipe Zurita, 2004. "Beyond Earthquakes: The New Directions of Expected Utility Theory," Documentos de Trabajo 260, Instituto de Economía. Pontificia Universidad Católica de Chile.. [Downloadable!]
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