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A Multi-Agent ODSS Architecture for Supporting Distributed Decision-Making

Author

Listed:
  • Greg Elofson

    (Emory University)

  • Philomina Thomas

    (Upgrade Corporation of America)

  • Benn R. Konsynski

    (Emory University)

Abstract

In this paper, we present an architecture of an ODSS that focuses on organizational learning to enhance the organization's memory and distribution of the organization's intelligence throughout the organization to the various units that need it in their decision-making process. Learning in this ODSS is done by multiple intelligent agents that are designed to gather, accumulate and classify information in order to assist the decision-maker.

Suggested Citation

  • Greg Elofson & Philomina Thomas & Benn R. Konsynski, 1998. "A Multi-Agent ODSS Architecture for Supporting Distributed Decision-Making," Group Decision and Negotiation, Springer, vol. 7(3), pages 229-247, May.
    • Handle: RePEc:spr:grdene:v:7:y:1998:i:3:d:10.1023_a:1008631432051
    DOI: 10.1023/A:1008631432051
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    References listed on IDEAS

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    1. Arvind Parkhe, 1991. "Interfirm Diversity, Organizational Learning, and Longevity in Global Strategic Alliances," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 22(4), pages 579-601, December.
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