Using planning techniques in intelligent tutoring systems
International Journal of Man-Machine Studies
Causality: models, reasoning, and inference
Causality: models, reasoning, and inference
A probabilistic model of affective behavior for intelligent tutoring systems
MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
Learning Objects Repository for Training of Power Systems Operators
KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
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Training of operators has become an important problem to be faced by power systems: updating knowledge and skills. An operator must comprehend the physical operation of the process and must be skilled in handling a number of normal and abnormal operating problems and emergencies. We are developing an intelligent environment for training of power system operators. This paper presents the architecture of the intelligent environment composed by computer based training components labeled as reusable learning objects; a learning object repository; concept structure map of the power plant domain, a tutor module based on course planner, operator model based on cognitive and affective components and operator interface. The general aim of our work is to provide operators of complex industrial environments with a suitable training from a pedagogical and affective viewpoint to certify operators in knowledge, skills, expertise, abilities and attitudes for operation of power systems.