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Mouse tracking reveals structure knowledge in the absence of model-based choice
Converging evidence has demonstrated that humans exhibit two distinct strategies when learning in complex environments. One is model-free learning, i.e., simple reinforcement of rewarded actions, and the other is model-based learning, which considers the structure of the environment. Recent work has...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7170897/ https://www.ncbi.nlm.nih.gov/pubmed/32312966 http://dx.doi.org/10.1038/s41467-020-15696-w |
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author | Konovalov, Arkady Krajbich, Ian |
author_facet | Konovalov, Arkady Krajbich, Ian |
author_sort | Konovalov, Arkady |
collection | PubMed |
description | Converging evidence has demonstrated that humans exhibit two distinct strategies when learning in complex environments. One is model-free learning, i.e., simple reinforcement of rewarded actions, and the other is model-based learning, which considers the structure of the environment. Recent work has argued that people exhibit little model-based behavior unless it leads to higher rewards. Here we use mouse tracking to study model-based learning in stochastic and deterministic (pattern-based) environments of varying difficulty. In both tasks participants’ mouse movements reveal that they learned the structures of their environments, despite the fact that standard behavior-based estimates suggested no such learning in the stochastic task. Thus, we argue that mouse tracking can reveal whether subjects have structure knowledge, which is necessary but not sufficient for model-based choice. |
format | Online Article Text |
id | pubmed-7170897 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-71708972020-04-23 Mouse tracking reveals structure knowledge in the absence of model-based choice Konovalov, Arkady Krajbich, Ian Nat Commun Article Converging evidence has demonstrated that humans exhibit two distinct strategies when learning in complex environments. One is model-free learning, i.e., simple reinforcement of rewarded actions, and the other is model-based learning, which considers the structure of the environment. Recent work has argued that people exhibit little model-based behavior unless it leads to higher rewards. Here we use mouse tracking to study model-based learning in stochastic and deterministic (pattern-based) environments of varying difficulty. In both tasks participants’ mouse movements reveal that they learned the structures of their environments, despite the fact that standard behavior-based estimates suggested no such learning in the stochastic task. Thus, we argue that mouse tracking can reveal whether subjects have structure knowledge, which is necessary but not sufficient for model-based choice. Nature Publishing Group UK 2020-04-20 /pmc/articles/PMC7170897/ /pubmed/32312966 http://dx.doi.org/10.1038/s41467-020-15696-w Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Konovalov, Arkady Krajbich, Ian Mouse tracking reveals structure knowledge in the absence of model-based choice |
title | Mouse tracking reveals structure knowledge in the absence of model-based choice |
title_full | Mouse tracking reveals structure knowledge in the absence of model-based choice |
title_fullStr | Mouse tracking reveals structure knowledge in the absence of model-based choice |
title_full_unstemmed | Mouse tracking reveals structure knowledge in the absence of model-based choice |
title_short | Mouse tracking reveals structure knowledge in the absence of model-based choice |
title_sort | mouse tracking reveals structure knowledge in the absence of model-based choice |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7170897/ https://www.ncbi.nlm.nih.gov/pubmed/32312966 http://dx.doi.org/10.1038/s41467-020-15696-w |
work_keys_str_mv | AT konovalovarkady mousetrackingrevealsstructureknowledgeintheabsenceofmodelbasedchoice AT krajbichian mousetrackingrevealsstructureknowledgeintheabsenceofmodelbasedchoice |