TY - GEN
T1 - Informed agents integrating data mining and agency
AU - Debenham, John
AU - Simoff, Simeon
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=36248929247&partnerID=8YFLogxK
U2 - 10.1007/978-0-387-74161-1_18
DO - 10.1007/978-0-387-74161-1_18
M3 - Conference Paper
AN - SCOPUS:36248929247
SN - 0387741607
SN - 9780387741604
T3 - IFIP International Federation for Information Processing
SP - 165
EP - 173
BT - Artificial Intelligence and Innovations 2007
A2 - Boukis, Christos
A2 - Pnevmatikakis, Aristodemos
A2 - Polymenakos, Lazaros
ER -