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.
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Debenham, J., Simoff, S. (2007). Informed Agents Integrating Data Mining and Agency. In: Boukis, C., Pnevmatikakis, A., Polymenakos, L. (eds) Artificial Intelligence and Innovations 2007: from Theory to Applications. AIAI 2007. IFIP The International Federation for Information Processing, vol 247. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-74161-1_18
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DOI: https://doi.org/10.1007/978-0-387-74161-1_18
Publisher Name: Springer, Boston, MA
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