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Applying game theory to automated negotiation

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  • Ken Binmore
  • Nir Vulkan
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    Abstract

    With existing technology, it is already possible for personal agents to schedule meetings for their users, to write the small print of an agreement, and for agents to search the Internet for the cheapest price. But serious negotiation cranks the difficulty of the problem up several notches. In this paper, we review what game theory has to offer in the light of experience gained in programming automated agents within the ADEPT (Advance Decision Environment for Process Tasks) project, which is currently being used by British Telecom for some purposes. Copyright Kluwer Academic Publishers 1999

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    File URL: http://hdl.handle.net/10.1023/A:1011489402739
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    Bibliographic Info

    Article provided by Springer in its journal NETNOMICS.

    Volume (Year): 1 (1999)
    Issue (Month): 1 (October)
    Pages: 1-9

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    Handle: RePEc:kap:netnom:v:1:y:1999:i:1:p:1-9

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    Web page: http://www.springerlink.com/link.asp?id=102537

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    Cited by:
    1. David van Bragt & Cees van Kemenade & Han La Poutre, 1999. "The Influence of Evolutionary Selection Schemes on the Iterated Prisoner's Dilemma," Computing in Economics and Finance 1999 344, Society for Computational Economics.
    2. D.D.B. Bragt, van & J. A. La Poutr & E. H. Gerding, 2000. "Equilibrium Selection In Evolutionary Bargaining Models," Computing in Economics and Finance 2000 323, Society for Computational Economics.
    3. David van Bragt & Han La Poutré, 2001. "Evolving Automata Play the Alternating-Offers Game," CeNDEF Workshop Papers, January 2001 2B.3, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

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