Introduction to Multiagent Systems
Introduction to Multiagent Systems
Lazy Induction of Descriptions for Relational Case-Based Learning
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
A Framework for the Initialization of Student Models in Web-based Intelligent Tutoring Systems
User Modeling and User-Adapted Interaction
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Cooperation is the fundamental characteristic of multi-agent systems where the overall system exhibits significantly greater functionality than the individual components. In this paper, we propose a P2P cooperation framework for multiple Case-based Reasoning (CBR) agents to handle the student models initialization problem in Intelligent Tutoring Systems (ITSs). Our work shows that using the "committee" collaboration policy the agents can obtain better results that working alone, allowing to enhance the system overall performance.