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Distributed Games

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Author Info

  • Dov Monderer

    (Technion)

  • Moshe Tennenholtz

    (Technion)

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    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.

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    File URL: http://128.118.178.162/eps/game/papers/9707/9707001.pdf
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    File URL: http://128.118.178.162/eps/game/papers/9707/9707001.ps.gz
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    Bibliographic Info

    Paper provided by EconWPA in its series Game Theory and Information with number 9707001.

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    Length: 7 pages
    Date of creation: 02 Jul 1997
    Date of revision: 13 Aug 1997
    Handle: RePEc:wpa:wuwpga:9707001

    Note: Type of Document - PostScript; prepared on unix/AmsTex; to print on PostScript; pages: 7
    Contact details of provider:
    Web page: http://128.118.178.162

    Related research

    Keywords: Internet; Electronic Commerce; Distributed games; Parallel games;

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    Cited by:
    1. Criscuolo,Paola & Narula,Rajneesh & Verspagen,Bart, 2002. "The relative importance of home and host innovation systems in the internationalisation of MNE R&D: a patent citation analysis," Research Memorandum 035, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
    2. 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.
    3. 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.

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