Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Germain Lefebvre"'
Confirmation bias in human reinforcement learning: Evidence from counterfactual feedback processing.
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 8, p e1005684 (2017)
Previous studies suggest that factual learning, that is, learning from obtained outcomes, is biased, such that participants preferentially take into account positive, as compared to negative, prediction errors. However, whether or not the prediction
Externí odkaz:
https://doaj.org/article/7442ee695a624c0d82015d8d9c21227f
Polarization in modern societies has been widely studied in the last decades. Concerns about its potential threat to democracy only expanded in the internet era where (mis)information is ubiquitous, its transmission faster than ever, and the freedom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c0b0e6dd6f723a0b0c8ef26d647a473
https://doi.org/10.31234/osf.io/4q3eu
https://doi.org/10.31234/osf.io/4q3eu
Publikováno v:
Neural Comput
Reinforcement learning involves updating estimates of the value of states and actions on the basis of experience. Previous work has shown that in humans, reinforcement learning exhibits a confirmatory bias: when the value of a chosen option is being
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c59763824540202d1012f067154f0be
https://ora.ox.ac.uk/objects/uuid:aa8bbdfc-8b93-491e-94ab-ba83d89c3b3b
https://ora.ox.ac.uk/objects/uuid:aa8bbdfc-8b93-491e-94ab-ba83d89c3b3b
Autor:
Aurélien Nioche, Basile Garcia, Germain Lefebvre, Thomas Boraud, Rougier, Nicolas P., Sacha Bourgeois-Gironde
Publikováno v:
Palgrave Communications, Vol 5, Iss 1, Pp 1-11 (2019)
HAL
Palgrave Communications
Palgrave Communications, Nature, In press
Palgrave Communications, 2019
HAL
Palgrave Communications
Palgrave Communications, Nature, In press
Palgrave Communications, 2019
International audience; Several micro-founded macroeconomic models with rational expectations address the issue of money emergence, by characterizing it as a coordination game. ese models have in common the use of agents who dispose of perfect or nea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5afde94f247ddf50c37cdd0c3e22345c
http://link.springer.com/article/10.1057/s41599-019-0362-2
http://link.springer.com/article/10.1057/s41599-019-0362-2
Convaincue que les femmes, de par leur rôle dans les rapports sociaux de sexe, ont un rôle important à jouer dans la transmission de l'identité ethnique aux jeunes générations, nous avons voulu, dans ce mémoire, mettre à jour ce phénomène t
Externí odkaz:
http://www.archipel.uqam.ca/1168/1/M10512.pdf
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America
Significance In the present study, we applied reinforcement learning models that are not classically used in experimental economics to a multistep exchange task of the emergence of money derived from a classic search-theoretic paradigm for the emerge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3f70e05b8d5035444b028f00a2bc64c
https://doi.org/10.1073/pnas.1813197115
https://doi.org/10.1073/pnas.1813197115
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 13, Iss 8, p e1005684 (2017)
PLoS Computational Biology, Vol 13, Iss 8, p e1005684 (2017)
Previous studies suggest that factual learning, that is, learning from obtained outcomes, is biased, such that participants preferentially take into account positive, as compared to negative, prediction errors. However, whether or not the prediction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d188004cd6459566b95a9de821007c8
https://pubmed.ncbi.nlm.nih.gov/28800597
https://pubmed.ncbi.nlm.nih.gov/28800597
Autor:
Sacha Bourgeois-Gironde, Germain Lefebvre, Maël Lebreton, Florent Meyniel, Stefano Palminteri
Publikováno v:
Nature Human Behaviour
Nature Human Behaviour, 2017, 1 (4), pp.0067. ⟨10.1038/s41562-017-0067⟩
Nature Human Behaviour, 1:0067. Nature Publishing Group
Nature Human Behaviour, 2017, 1 (4), pp.0067. ⟨10.1038/s41562-017-0067⟩
Nature Human Behaviour, 1:0067. Nature Publishing Group
When forming and updating beliefs about future life outcomes, people tend to consider good news and to disregard bad news. This tendency is assumed to support the optimism bias. Whether this learning bias is specific to ‘high-level’ abstract beli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::265edc99cc9f45b08037b6e4214636f8
https://doi.org/10.1038/s41562-017-0067
https://doi.org/10.1038/s41562-017-0067
Previous studies suggest that factual learning, that is, learning from obtained outcomes, is biased, such that participants preferentially take into account positive, as compared to negative, prediction errors. However, whether or not the prediction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40a2c815517ca0e6a788425ccb59173c
https://doi.org/10.1101/090654
https://doi.org/10.1101/090654
Autor:
Florent Meyniel, Maël Lebreton, Sacha Bourgeois-Gironde, Germain Lefebvre, Stefano Palminteri
While forming and updating beliefs about future life outcomes, people tend to consider good news and to disregard bad news. This tendency is supposed to support the optimism bias. Whether learning bias is specific to high-level abstract belief update
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28671769622ee226b6b6b9f786f4992d
https://doi.org/10.1101/038778
https://doi.org/10.1101/038778