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Aggregation of Hierarchically-Organized Agents in a Multi-Agent System., и . FLAIRS, (2022)Adaptive, Policy-Driven, After Action Review in the Generalized Intelligent Framework for Tutoring., , , , и . HCI (15), том 10915 из Lecture Notes in Computer Science, стр. 24-33. Springer, (2018)Establishing Ground Truth on Pyschophysiological Models for Training Machine Learning Algorithms: Options for Ground Truth Proxies., и . HCI (14), том 10284 из Lecture Notes in Computer Science, стр. 468-477. Springer, (2017)Data Mining for Adaptive Instruction., , , , и . FLAIRS, стр. 427-432. AAAI Press, (2018)Multilevel Learner Modeling in Training Environments for Complex Decision Making., , , , , , и . IEEE Trans. Learn. Technol., 13 (1): 172-185 (2020)Welcome Virtual Teammates - Modeling the Acceptance of AI-based Entities for Training., и . TTW@AIED, том 3096 из CEUR Workshop Proceedings, стр. 33-39. CEUR-WS.org, (2021)Team Tutoring Automated Content Discovery and Learning Objective Alignment., , , и . TTW@AIED, том 2501 из CEUR Workshop Proceedings, стр. 50-58. CEUR-WS.org, (2019)Individualised modelling of affective data for intelligent tutoring systems: lessons learned.. Int. J. Simul. Process. Model., 14 (3): 197-212 (2019)Report on the Thirty-First International Florida Artificial Intelligence Research Society Conference (FLAIRS-31)., , , и . AI Mag., 39 (4): 23-24 (2018)Multidimensional Team Communication Modeling for Adaptive Team Training: A Hybrid Deep Learning and Graphical Modeling Framework., , , , , , и . AIED (1), том 12748 из Lecture Notes in Computer Science, стр. 293-305. Springer, (2021)