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...

Descripción completa

Detalles Bibliográficos
Autores principales: Auletta, Fabrizia, Kallen, Rachel W., di Bernardo, Mario, Richardson, Michael J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
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

Internet

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

Ejemplares similares