The computational roots of positivity and confirmation biases in reinforcement learning

Palminteri, Stefano; Lebreton, Mael

doi:10.1016/j.tics.2022.04.005

Scientific article

Review

English

The computational roots of positivity and confirmation biases in reinforcement learning

ContributorsPalminteri, Stefano

; Lebreton, Mael

Published inTrends in cognitive sciences, vol. 26, no. 7, p. 607-621

Publication date2022-07

Keywords

Confirmation
Decision
Gain
Learning
Loss
Update

Affiliation entities

Faculté de médecine / Section de médecine fondamentale / Département de neurosciences fondamentales
Centres et instituts / Centre interfacultaire en sciences affectives

Research groups

Funding

Swiss National Science Foundation - A neuro-computational investigation of value precision [PZ00P3_174127]

Citation (ISO format)

PALMINTERI, Stefano, LEBRETON, Mael. The computational roots of positivity and confirmation biases in reinforcement learning. In: Trends in cognitive sciences, 2022, vol. 26, n° 7, p. 607–621. doi: 10.1016/j.tics.2022.04.005

Article (Published version)

Identifiers

PID : unige:162401
DOI : 10.1016/j.tics.2022.04.005
PMID : 35662490

Additional URL for this publicationhttps://linkinghub.elsevier.com/retrieve/pii/S1364661322000894

Journal ISSN1364-6613

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Creation23/06/2022 12:53:00

First validation23/06/2022 12:53:00

Update16/03/2023 07:05:01

Status update16/03/2023 07:05:01

Last indexation01/11/2024 02:20:58

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The computational roots of positivity and confirmation biases in reinforcement learning

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