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Identifying Causes Helps a Tutoring System to Better Adapt to Learners duringTraining Sessions.

, , , and . J. Intell. Learn. Syst. Appl., 3 (3): 139-154 (2011)

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A New Emotional Architecture for Cognitive Tutoring Agents., , , and . FLAIRS, page 445-446. AAAI Press, (2008)Multi-paradigm Generation of Tutoring Feedback in Robotic Arm Manipulation Training., , , , and . ITS, volume 7315 of Lecture Notes in Computer Science, page 233-242. Springer, (2012)The Combination of a Causal and Emotional Learning Mechanism for an Improved Cognitive Tutoring Agent., , , and . IEA/AIE (2), volume 6097 of Lecture Notes in Computer Science, page 438-449. Springer, (2010)Probabilistic Easy Variational Causal Effect., and . CoRR, (2024)Causality in Probabilistic Fuzzy Logic and Alternative Causes as Fuzzy Duals., , , and . ICCCI (CCIS Volume), volume 1287 of Communications in Computer and Information Science, page 767-776. Springer, (2020)Causal Probabilistic Based Variational Autoencoders Capable of Handling Noisy Inputs Using Fuzzy Logic Rules., , and . SAI (2), volume 507 of Lecture Notes in Networks and Systems, page 190-202. Springer, (2022)An Hybrid Expert Model to Support Tutoring Services in Robotic Arm Manipulations., , , , and . MICAI (1), volume 7094 of Lecture Notes in Computer Science, page 478-489. Springer, (2011)Integrating Fuzzy Logic with Causal Inference: Enhancing the Pearl and Neyman-Rubin Methodologies., and . CoRR, (2024)CMRULES: An Efficient Algorithm for Mining Sequential Rules Common to Several Sequences., , , and . FLAIRS, AAAI Press, (2010)Using Deep Learning algorithms to detect the success or failure of the Electroconvulsive Therapy (ECT) sessions., and . FLAIRS, (2021)