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A Computer Scientist Looks at Game Theory

Author

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  • Joseph Y. Halpern

    (Cornell University)

Abstract

I consider issues in distributed computation that should be of relevance to game theory. In particular, I focus on (a) representing knowledge and uncertainty, (b) dealing with failures, and (c) specification of mechanisms.

Suggested Citation

  • Joseph Y. Halpern, 2004. "A Computer Scientist Looks at Game Theory," Game Theory and Information 0411002, University Library of Munich, Germany.
  • Handle: RePEc:wpa:wuwpga:0411002
    Note: Type of Document - ps; pages: 21. In Games and Economic Behavior 45:1, 2003, pp. 114-132
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    References listed on IDEAS

    as
    1. Neyman, Abraham, 1985. "Bounded complexity justifies cooperation in the finitely repeated prisoners' dilemma," Economics Letters, Elsevier, vol. 19(3), pages 227-229.
    2. Eliaz, K., 1999. "Fault Tolerant Implementation," Papers 21-99, Tel Aviv.
    3. Ronald Fagin & Joseph Y. Halpern & Yoram Moses & Moshe Y. Vardi, 2003. "Reasoning About Knowledge," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262562006, November.
    4. Piccione, Michele & Rubinstein, Ariel, 1997. "On the Interpretation of Decision Problems with Imperfect Recall," Games and Economic Behavior, Elsevier, vol. 20(1), pages 3-24, July.
    5. Rubinstein, Ariel, 1989. "The Electronic Mail Game: Strategic Behavior under "Almost Common Knowledge."," American Economic Review, American Economic Association, vol. 79(3), pages 385-391, June.
    6. Monderer, Dov & Tennenholtz, Moshe, 1999. "Distributed Games," Games and Economic Behavior, Elsevier, vol. 28(1), pages 55-72, July.
    7. Rubinstein, Ariel, 1986. "Finite automata play the repeated prisoner's dilemma," Journal of Economic Theory, Elsevier, vol. 39(1), pages 83-96, June.
    8. Halpern, Joseph Y., 1997. "On Ambiguities in the Interpretation of Game Trees," Games and Economic Behavior, Elsevier, vol. 20(1), pages 66-96, July.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Martin Shubik, 2012. "What is a Solution to a Matrix Game," Levine's Working Paper Archive 786969000000000541, David K. Levine.
    2. F. Forges & B. von Stengel, 2002. "Computionally Efficient Coordination in Games Trees," THEMA Working Papers 2002-05, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    3. Deb, Joyee & Kalai, Ehud, 2015. "Stability in large Bayesian games with heterogeneous players," Journal of Economic Theory, Elsevier, vol. 157(C), pages 1041-1055.
    4. Gradwohl, Ronen & Reingold, Omer, 2010. "Partial exposure in large games," Games and Economic Behavior, Elsevier, vol. 68(2), pages 602-613, March.
    5. repec:eee:ejores:v:264:y:2018:i:1:p:280-293 is not listed on IDEAS
    6. Martin Shubik, 2011. "The Present and Future of Game Theory," Cowles Foundation Discussion Papers 1808, Cowles Foundation for Research in Economics, Yale University.
    7. Gradwohl, Ronen & Reingold, Omer, 2014. "Fault tolerance in large games," Games and Economic Behavior, Elsevier, vol. 86(C), pages 438-457.

    More about this item

    JEL classification:

    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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