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Distributed Games

Author

Listed:
  • Dov Monderer

    (Technion)

  • Moshe Tennenholtz

    (Technion)

Abstract

The Internet exhibits forms of interactions which are not captured by existing models in economics, artificial intelligence and game theory. New models are needed to deal with these multi-agent interactions. In this paper we present a new model--distributed games. In such a model each players controls a number of agents which participate in asynchronous parallel multi-agent interactions (games). The agents jointly and strategically control the level of information monitoring by broadcasting messages. As an application we show that the cooperative outcome of the Prisoners' Dilemma game can be obtained in equilibrium in such a setting.

Suggested Citation

  • Dov Monderer & Moshe Tennenholtz, 1997. "Distributed Games," Game Theory and Information 9707001, University Library of Munich, Germany, revised 13 Aug 1997.
    • Handle: RePEc:wpa:wuwpga:9707001
    Note: Type of Document - PostScript; prepared on unix/AmsTex; to print on PostScript; pages: 7
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    Citations

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    Cited by:

    1. Giovanni Dosi & Mike Hobday & Luigi Marengo & Andrea Prencipe, 2002. "The Economics Of System Integration: Toward An Evolutionary Interpretation," LEM Papers Series 2002/16, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    2. Pedersen, Mogens Kühn & Larsen, Michael Holm, 2000. "Distributed Knowledge Management Based on Product State Models – The Case of Decision Support in Health Care Administration," Working Papers 2000-12, Copenhagen Business School, Department of Informatics.

    More about this item

    Keywords

    Internet; Electronic Commerce; Distributed games; Parallel games;
    All these keywords.

    JEL classification:

    • C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty

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