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Distributed Computation as an Economic System

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  • Bernardo A. Huberman
  • Tad Hogg
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    Abstract

    As computer networks grow and blanket the planet, they become a community of concurrent processes, which, in their interactions, strategies, and lack of perfect knowledge, become analogous to human market economies. Economics may thus offer new ways of designing and understanding the behavior of distributed computer systems.

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    File URL: http://www.aeaweb.org/articles.php?doi=10.1257/jep.9.1.141
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    Bibliographic Info

    Article provided by American Economic Association in its journal Journal of Economic Perspectives.

    Volume (Year): 9 (1995)
    Issue (Month): 1 (Winter)
    Pages: 141-152

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    Handle: RePEc:aea:jecper:v:9:y:1995:i:1:p:141-52

    Note: DOI: 10.1257/jep.9.1.141
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    Cited by:
    1. Friedman, Eric & Shor, Mikhael & Shenker, Scott & Sopher, Barry, 2004. "An experiment on learning with limited information: nonconvergence, experimentation cascades, and the advantage of being slow," Games and Economic Behavior, Elsevier, Elsevier, vol. 47(2), pages 325-352, May.
    2. T. Hogg & B. A. Huberman & M. Youssefmir, . "The Instability of Markets," Working Papers _006, Xerox Research Park.
    3. Karla Atkins & Achla Marathe & Chris Barrett, 2007. "A computational approach to modeling commodity markets," Computational Economics, Society for Computational Economics, Society for Computational Economics, vol. 30(2), pages 125-142, September.
    4. Nisan, Noam & Ronen, Amir, 2001. "Algorithmic Mechanism Design," Games and Economic Behavior, Elsevier, Elsevier, vol. 35(1-2), pages 166-196, April.

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