TY - GEN
T1 - Building intelligent negotiating agents
AU - Debenham, John
AU - Simoff, Simeon
PY - 2006
Y1 - 2006
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.
UR - http://www.scopus.com/inward/record.url?scp=84886404294&partnerID=8YFLogxK
U2 - 10.1007/11941439_45
DO - 10.1007/11941439_45
M3 - Conference Paper
AN - SCOPUS:84886404294
SN - 9783540497875
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 413
EP - 422
BT - AI 2006
PB - Springer Verlag
T2 - 19th Australian Joint Conference onArtificial Intelligence, AI 2006
Y2 - 4 December 2006 through 8 December 2006
ER -