TY - JOUR
T1 - A model for informed negotiating agents
AU - Debenham, John K.
AU - Simoff, Simeon J.
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
KW - information
KW - relationships
KW - reliability
UR - http://handle.uws.edu.au:8081/1959.7/34377
UR - http://www.springerlink.com/content/58782365550g2722/
M3 - Article
SN - 0302-9743
JO - Lecture Notes in Computer Science
JF - Lecture Notes in Computer Science
ER -