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Continuous-time negotiation mechanism for software agents.

Bo An1, Kwang Mong Sim, Liang Gui Tang

  • 1College of Computer Science, Chongqing University, Chongqing 400044, China. boancqu@gmail.com

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
|December 26, 2006
PubMed
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This study introduces a flexible one-to-many negotiation mechanism for software agents, enabling continuous-time proposals. This approach leads to more favorable trading outcomes compared to traditional methods.

Area of Science:

  • Artificial Intelligence
  • Multi-Agent Systems
  • Computational Economics

Background:

  • Automated one-to-many negotiation is complex.
  • Existing mechanisms require waiting for all proposals before responding.

Purpose of the Study:

  • Develop a flexible one-to-many negotiation mechanism for software agents.
  • Enable continuous-time negotiation and improve trading outcomes.

Main Methods:

  • Proposed a flexible negotiation mechanism allowing agents to propose in continuous time.
  • Introduced two strategies (fixed waiting time, fixed waiting ratio) for proposal timing.
  • Developed four mathematical functions to guide concession amounts based on various factors.

Main Results:

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  • The flexible mechanism achieved more favorable trading outcomes than the general one.
  • Agents adapted to market changes with prudent concession rates.
  • Favorable negotiation outcomes were generally achieved.

Conclusions:

  • The flexible one-to-many negotiation mechanism enhances agent trading efficiency.
  • Adaptive concession strategies improve negotiation outcomes in dynamic environments.