Building intelligent negotiating agents

John K. Debenham, Simeon J. Simoff, Abdul Sattar, Byeong Ho Kang

    Research output: Chapter in Book / Conference PaperConference Paper

    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.
    Original languageEnglish
    Title of host publicationAI 2006: Advances in Artificial Intelligence: 19th Australian Joint Conference on Artificial Intelligence, Hobart, Australia, December 4-8, 2006: Proceedings
    PublisherSpringer
    Number of pages10
    ISBN (Print)9783540497882
    Publication statusPublished - 2006
    EventAdvances in Artificial Intelligence Conference -
    Duration: 1 Jan 2006 → …

    Conference

    ConferenceAdvances in Artificial Intelligence Conference
    Period1/01/06 → …

    Keywords

    • electronic commerce
    • intelligent agents (computer software)
    • negotiation
    • game theory
    • computer architecture
    • artificial intelligence

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