Qualitative reasoning: modeling and simulation with incomplete knowledge
Qualitative reasoning: modeling and simulation with incomplete knowledge
Formal modelling of task interruptions
Conference Companion on Human Factors in Computing Systems
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Information Processing and Human-Machine Interaction: An Approach to Cognitive Engineering
Information Processing and Human-Machine Interaction: An Approach to Cognitive Engineering
The Psychology of Menu Selection: Designing Cognitive Control at the Human/Computer Interface
The Psychology of Menu Selection: Designing Cognitive Control at the Human/Computer Interface
An Actor Based Architecture for Intelligent Tutoring Systems
ITS '96 Proceedings of the Third International Conference on Intelligent Tutoring Systems
Tutoring Diagnostic Problem Solving
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
Cooperative Agents to Track Learner's Cognitive Gap
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
Intention Reconsideration Reconsidered
ATAL '98 Proceedings of the 5th International Workshop on Intelligent Agents V, Agent Theories, Architectures, and Languages
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The present paper discusses the results of application of multi-agent technologies to the diagnostic of errors (and underlying cognitive gaps) in aeronautic training. Cognitive psychology issues related to errors constitute the base for ITS modelling. The model of reasoning based on qualitative simulation is proposed as the base for pedagogical evaluation of the trainee. As a result, simulation-based ITS using 芦learning-by-doing errors禄 approach is presented, where multi-agent architecture is used for threefold errors diagnosis: ergonomy, knowledge, psychology. The results of this research have found their applications in ASIMIL project.