@inproceedings{ecb9e70639af4a6b9e1b0e12aea7a2a8,
title = "Building intelligent negotiating agents",
abstract = "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.",
author = "John Debenham and Simeon Simoff",
year = "2006",
doi = "10.1007/11941439\_45",
language = "English",
isbn = "9783540497875",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "413--422",
booktitle = "AI 2006",
note = "19th Australian Joint Conference onArtificial Intelligence, AI 2006 ; Conference date: 04-12-2006 Through 08-12-2006",
}