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Predicting and understanding human action decisions during skillful joint-action using supervised machine learning and explainable-AI
This study investigated the utility of supervised machine learning (SML) and explainable artificial intelligence (AI) techniques for modeling and understanding human decision-making during multiagent task performance. Long short-term memory (LSTM) networks were trained to predict the target selectio...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10042997/ https://www.ncbi.nlm.nih.gov/pubmed/36973473 http://dx.doi.org/10.1038/s41598-023-31807-1 |