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Abstract

We propose that the key to building informed negotiating agents is to develop a form of agency that integrates naturally with data mining and information sources. These agent’s take their historic observations as primitive, model their changing uncertainty in that information, and 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.

Keywords

World Model Epistemic Belief Information Request Agent Architecture Trading Agent 
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.

References

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Copyright information

© International Federation for Information Processing 2007

Authors and Affiliations

  • John Debenham
    • 1
  • Simeon Simoff
    • 1
  1. 1.University of TechnologySydneyAustralia

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