Literature DB >> 26778808

Who Knows? Metacognitive Social Learning Strategies.

Cecilia Heyes1.   

Abstract

To make good use of learning from others (social learning), we need to learn from the right others; from agents who know better than we do. Research on social learning strategies (SLSs) has identified rules that focus social learning on the right agents, and has shown that the behaviour of many animals conforms to these rules. However, it has not asked what the rules are made of, that is, about the cognitive processes implementing SLSs. Here, I suggest that most SLSs depend on domain-general, sensorimotor processes. However, some SLSs have the characteristics tacitly ascribed to all of them. These metacognitive SLSs represent 'who knows' in a conscious, reportable way, and have the power to promote cultural evolution.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Keywords:  cultural evolution; domain-general; metacognition; social learning strategies

Mesh:

Year:  2016        PMID: 26778808     DOI: 10.1016/j.tics.2015.12.007

Source DB:  PubMed          Journal:  Trends Cogn Sci        ISSN: 1364-6613            Impact factor:   20.229


  33 in total

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2.  How language shapes the cultural inheritance of categories.

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Review 3.  The neural and computational systems of social learning.

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Journal:  Psychopharmacology (Berl)       Date:  2022-05-04       Impact factor: 4.530

6.  The value of teaching increases with tool complexity in cumulative cultural evolution.

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Review 7.  Blackboxing: social learning strategies and cultural evolution.

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Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-05-05       Impact factor: 6.237

8.  Constructive anthropomorphism: a functional evolutionary approach to the study of human-like cognitive mechanisms in animals.

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Journal:  Proc Biol Sci       Date:  2017-10-25       Impact factor: 5.349

9.  Technical reasoning is important for cumulative technological culture.

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Review 10.  The computational challenge of social learning.

Authors:  Oriel FeldmanHall; Matthew R Nassar
Journal:  Trends Cogn Sci       Date:  2021-09-25       Impact factor: 20.229

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