Learning models of other agents using influence diagrams
UM '99 Proceedings of the seventh international conference on User modeling
Engagement and Cooperating in Motivated Agent Modelling
Proceedings of the First Australian Workshop on DAI: Distributed Artificial Intelligence: Architecture and Modelling
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
Model Sharing in Multiagent Systems
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
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Agent models are internal representations held by an agent of itself and of other agents in its environment. Agent modelling is necessary for coordinating and individualizing the actions of agents. An important goal is that agents not be deluded about each other, that is, that there is no incompatibility between an agent's models and the actual properties of the agents being modeled. This paper is about overcoming such delusion, in particular with strategies that rely on interactions and gossip between an agent and other agents. We present a number of studies of the effectiveness of these strategies and the trade-offs among them. These studies have been carried out using an agent architecture and a simulation environment both specifically designed to allow exploration of agent modelling issues.