Model-observer similarity, error modeling and social learning in rhesus macaques.

Monkeys readily learn to discriminate between rewarded and unrewarded items or actions by observing their conspecifics. However, they do not systematically learn from humans. Understanding what makes human-to-monkey transmission of knowledge work or fail could help identify mediators and moderators...

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Autores principales: Elisabetta Monfardini, Fadila Hadj-Bouziane, Martine Meunier
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Publicado: Public Library of Science (PLoS) 2014
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Acceso en línea:https://doaj.org/article/cd9731aa458846a0af35d793774b596f
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spelling oai:doaj.org-article:cd9731aa458846a0af35d793774b596f2021-11-18T08:31:15ZModel-observer similarity, error modeling and social learning in rhesus macaques.1932-620310.1371/journal.pone.0089825https://doaj.org/article/cd9731aa458846a0af35d793774b596f2014-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24587063/?tool=EBIhttps://doaj.org/toc/1932-6203Monkeys readily learn to discriminate between rewarded and unrewarded items or actions by observing their conspecifics. However, they do not systematically learn from humans. Understanding what makes human-to-monkey transmission of knowledge work or fail could help identify mediators and moderators of social learning that operate regardless of language or culture, and transcend inter-species differences. Do monkeys fail to learn when human models show a behavior too dissimilar from the animals' own, or when they show a faultless performance devoid of error? To address this question, six rhesus macaques trained to find which object within a pair concealed a food reward were successively tested with three models: a familiar conspecific, a 'stimulus-enhancing' human actively drawing the animal's attention to one object of the pair without actually performing the task, and a 'monkey-like' human performing the task in the same way as the monkey model did. Reward was manipulated to ensure that all models showed equal proportions of errors and successes. The 'monkey-like' human model improved the animals' subsequent object discrimination learning as much as a conspecific did, whereas the 'stimulus-enhancing' human model tended on the contrary to retard learning. Modeling errors rather than successes optimized learning from the monkey and 'monkey-like' models, while exacerbating the adverse effect of the 'stimulus-enhancing' model. These findings identify error modeling as a moderator of social learning in monkeys that amplifies the models' influence, whether beneficial or detrimental. By contrast, model-observer similarity in behavior emerged as a mediator of social learning, that is, a prerequisite for a model to work in the first place. The latter finding suggests that, as preverbal infants, macaques need to perceive the model as 'like-me' and that, once this condition is fulfilled, any agent can become an effective model.Elisabetta MonfardiniFadila Hadj-BouzianeMartine MeunierPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 2, p e89825 (2014)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Elisabetta Monfardini
Fadila Hadj-Bouziane
Martine Meunier
Model-observer similarity, error modeling and social learning in rhesus macaques.
description Monkeys readily learn to discriminate between rewarded and unrewarded items or actions by observing their conspecifics. However, they do not systematically learn from humans. Understanding what makes human-to-monkey transmission of knowledge work or fail could help identify mediators and moderators of social learning that operate regardless of language or culture, and transcend inter-species differences. Do monkeys fail to learn when human models show a behavior too dissimilar from the animals' own, or when they show a faultless performance devoid of error? To address this question, six rhesus macaques trained to find which object within a pair concealed a food reward were successively tested with three models: a familiar conspecific, a 'stimulus-enhancing' human actively drawing the animal's attention to one object of the pair without actually performing the task, and a 'monkey-like' human performing the task in the same way as the monkey model did. Reward was manipulated to ensure that all models showed equal proportions of errors and successes. The 'monkey-like' human model improved the animals' subsequent object discrimination learning as much as a conspecific did, whereas the 'stimulus-enhancing' human model tended on the contrary to retard learning. Modeling errors rather than successes optimized learning from the monkey and 'monkey-like' models, while exacerbating the adverse effect of the 'stimulus-enhancing' model. These findings identify error modeling as a moderator of social learning in monkeys that amplifies the models' influence, whether beneficial or detrimental. By contrast, model-observer similarity in behavior emerged as a mediator of social learning, that is, a prerequisite for a model to work in the first place. The latter finding suggests that, as preverbal infants, macaques need to perceive the model as 'like-me' and that, once this condition is fulfilled, any agent can become an effective model.
format article
author Elisabetta Monfardini
Fadila Hadj-Bouziane
Martine Meunier
author_facet Elisabetta Monfardini
Fadila Hadj-Bouziane
Martine Meunier
author_sort Elisabetta Monfardini
title Model-observer similarity, error modeling and social learning in rhesus macaques.
title_short Model-observer similarity, error modeling and social learning in rhesus macaques.
title_full Model-observer similarity, error modeling and social learning in rhesus macaques.
title_fullStr Model-observer similarity, error modeling and social learning in rhesus macaques.
title_full_unstemmed Model-observer similarity, error modeling and social learning in rhesus macaques.
title_sort model-observer similarity, error modeling and social learning in rhesus macaques.
publisher Public Library of Science (PLoS)
publishDate 2014
url https://doaj.org/article/cd9731aa458846a0af35d793774b596f
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AT martinemeunier modelobserversimilarityerrormodelingandsociallearninginrhesusmacaques
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