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Interrogating Feature Learning Models to Discover Insights Into the Development of Human Expertise in a Real-Time, Dynamic Decision-Making Task.

, , и . Top. Cogn. Sci., 9 (2): 374-394 (2017)

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Tetris-: Exploring Human Performance via Cross Entropy Reinforcement Learning Models., , и . CogSci, cognitivesciencesociety.org, (2015)Interrogating Feature Learning Models to Discover Insights Into the Development of Human Expertise in a Real-Time, Dynamic Decision-Making Task., , и . Top. Cogn. Sci., 9 (2): 374-394 (2017)Analysis of the human connectome data supports the notion of a "Common Model of Cognition" for human and human-like intelligence across domains., , , , , , и . NeuroImage, (2021)Unpuzzling tetris: exploring the mechanisms of expertise in a complex, dynamic task with simple machine learning models.. Rensselaer Polytechnic Institute, USA, (2019)Tetris: Exploring Human Strategies via Cross Entropy Reinforcement Learning Models., , и . CogSci, cognitivesciencesociety.org, (2014)When Experts Err: Using Tetris Models to Detect True Errors From Deliberate Sub-Optimal Choices., и . CogSci, стр. 3572. cognitivesciencesociety.org, (2019)Comparing reinforcement learning in humans and artificial intelligence through Tetris., , , и . CogSci, cognitivesciencesociety.org, (2014)Inferring a Cognitive Architecture from Multitask Neuroimaging Data: A Data-Driven Test of the Common Model of Cognition Using Granger Causality., , и . Top. Cogn. Sci., 14 (4): 845-859 (2022)When Fear Shrinks the Brain: A Computational Model of the Effects of Posttraumatic Stress on Hippocampal Volume., , , , и . Top. Cogn. Sci., 13 (3): 499-514 (2021)The tortoise wins only when the race is long: How the task environment changes the behavior of Tetris models., и . CogSci, cognitivesciencesociety.org, (2017)