Building Intelligent Negotiating Agents

  • John Debenham
  • Simeon Simoff
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4304)


We propose that the key to building intelligent negotiating agents is to take an agent’s historic observations as primitive, to model that agent’s changing uncertainty in that information, and to use that model as the foundation for the agent’s reasoning. We describe an agent architecture, with an attendant theory, that is based on that model. In this approach, the utility of contracts, and the trust and reliability of a trading partner are intermediate concepts that an agent may estimate from its information model. This enables us to describe intelligent agents that are not necessarily utility optimisers, that value information as a commodity, and that build relationships with other agents through the trusted exchange of information as well as contracts.


Multiagent System Trading Partner Intelligent Agent World Model Epistemic Belief 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • John Debenham
    • 1
  • Simeon Simoff
    • 1
  1. 1.Faculty of ITUniversity of TechnologySydneyAustralia

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