Building Intelligent Negotiating Agents
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.
KeywordsMultiagent System Trading Partner Intelligent Agent World Model Epistemic Belief
Unable to display preview. Download preview PDF.
- 1.Wooldridge, M.: Multiagent Systems. Wiley, Chichester (2002)Google Scholar
- 2.Arcos, J.L., Esteva, M., Noriega, P., Rodríguez, J.A., Sierra, C.: Environment engineering for multiagent systems. Journal on Engineering Applications of Artificial Intelligence 18 (2005)Google Scholar
- 3.Rosenschein, J., Zlotkin, G.: Rules of Encounter. MIT Press, Cambridge (1998)Google Scholar
- 5.Klemperer, P.: The Economic Theory of Auctions: vols. I and II. Edward Elgar (2000)Google Scholar
- 7.Cheeseman, P., Stutz, J.: On The Relationship between Bayesian and Maximum Entropy Inference. In: Bayesian Inference and Maximum Entropy Methods in Science and Engineering, pp. 445–461. American Institute of Physics, Melville (2004)Google Scholar
- 8.Debenham, J., Simoff, S.: An agent establishes trust with equitable information revelation. In: Subrahmanian, V., Regli, W. (eds.) Proceedings of the 2005 IEEE 2nd Symposium on Multi-Agent Security and Survivability, Drexel University, Philadelphia, USA, pp. 66–74. IEEE, Los Alamitos (2005)CrossRefGoogle Scholar