The behavioral and neural mechanisms underlying the tracking of expertise.

Evaluating the abilities of others is fundamental for successful economic and social behavior. We investigated the computational and neurobiological basis of ability tracking by designing an fMRI task that required participants to use and update estimates of both people and algorithms' expertis...

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Main Authors: Boorman, E, O'Doherty, J, Adolphs, R, Rangel, A
Format: Journal article
Language:English
Published: 2013
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author Boorman, E
O'Doherty, J
Adolphs, R
Rangel, A
author_facet Boorman, E
O'Doherty, J
Adolphs, R
Rangel, A
author_sort Boorman, E
collection OXFORD
description Evaluating the abilities of others is fundamental for successful economic and social behavior. We investigated the computational and neurobiological basis of ability tracking by designing an fMRI task that required participants to use and update estimates of both people and algorithms' expertise through observation of their predictions. Behaviorally, we find a model-based algorithm characterized subject predictions better than several alternative models. Notably, when the agent's prediction was concordant rather than discordant with the subject's own likely prediction, participants credited people more than algorithms for correct predictions and penalized them less for incorrect predictions. Neurally, many components of the mentalizing network-medial prefrontal cortex, anterior cingulate gyrus, temporoparietal junction, and precuneus-represented or updated expertise beliefs about both people and algorithms. Moreover, activity in lateral orbitofrontal and medial prefrontal cortex reflected behavioral differences in learning about people and algorithms. These findings provide basic insights into the neural basis of social learning.
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spelling oxford-uuid:49729aae-4c99-465c-9acc-6d30dcbf94302022-03-26T15:31:46ZThe behavioral and neural mechanisms underlying the tracking of expertise.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:49729aae-4c99-465c-9acc-6d30dcbf9430EnglishSymplectic Elements at Oxford2013Boorman, EO'Doherty, JAdolphs, RRangel, AEvaluating the abilities of others is fundamental for successful economic and social behavior. We investigated the computational and neurobiological basis of ability tracking by designing an fMRI task that required participants to use and update estimates of both people and algorithms' expertise through observation of their predictions. Behaviorally, we find a model-based algorithm characterized subject predictions better than several alternative models. Notably, when the agent's prediction was concordant rather than discordant with the subject's own likely prediction, participants credited people more than algorithms for correct predictions and penalized them less for incorrect predictions. Neurally, many components of the mentalizing network-medial prefrontal cortex, anterior cingulate gyrus, temporoparietal junction, and precuneus-represented or updated expertise beliefs about both people and algorithms. Moreover, activity in lateral orbitofrontal and medial prefrontal cortex reflected behavioral differences in learning about people and algorithms. These findings provide basic insights into the neural basis of social learning.
spellingShingle Boorman, E
O'Doherty, J
Adolphs, R
Rangel, A
The behavioral and neural mechanisms underlying the tracking of expertise.
title The behavioral and neural mechanisms underlying the tracking of expertise.
title_full The behavioral and neural mechanisms underlying the tracking of expertise.
title_fullStr The behavioral and neural mechanisms underlying the tracking of expertise.
title_full_unstemmed The behavioral and neural mechanisms underlying the tracking of expertise.
title_short The behavioral and neural mechanisms underlying the tracking of expertise.
title_sort behavioral and neural mechanisms underlying the tracking of expertise
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