Constructing Intelligent Agents with Java: A Programmer's Guide to Smarter Applications
Constructing Intelligent Agents with Java: A Programmer's Guide to Smarter Applications
Towards the Design of More Effective Advisors for Learning-by-Doing Systems
ITS '96 Proceedings of the Third International Conference on Intelligent Tutoring Systems
An Actor Based Architecture for Intelligent Tutoring Systems
ITS '96 Proceedings of the Third International Conference on Intelligent Tutoring Systems
Using a Learning Agent with a Student Model
ITS '98 Proceedings of the 4th International Conference on Intelligent Tutoring Systems
From Speech Acts to Multi-agent Systems: The MAYBE Method
PAKM '02 Proceedings of the 4th International Conference on Practical Aspects of Knowledge Management
Qualitative Assessment on Aeronautical Training with Cognitive Agents
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
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This paper presents the earlier results of the CMOS project including an embedded multi-agents ITS to efficiently help the learner faced with troubleshooting maintenance tasks. This environment carry on dedicated responses for aeronautical training sessions according to a three-step principle : first 驴introduce驴, next 驴convince驴 and at least 驴get to do驴. We emphasize on two main characteristics : a real-time full simulation of the technical domain, and it works with an tutoring multi-agents architecture, ASITS. ASITS is supplied with reactive and cognitive agents to track the learner performance, detect inherent negative effects (the learner's "cognitive gaps"), and as a feedback issue, to identify some deficiencies that current training simulator lack. Therefore, as measuring gap values with quantitative rules keeps sometimes hazardous, the concept of simulation has to be extended to a Qualitative Simulation approach.