Informed Agents: Integrating Data Mining and Agency

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Conference Proceeding
4th IFIP International Conference on Artificial Intelligence Applications and Innovations, 2007, pp. 165 - 174
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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 agents take their historic observations as primitive, model their changing uncertainty in that information, and use that model as the foundation for the agents 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.
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