Literature DB >> 31739823

The elephant in the room: What matters cognitively in cumulative technological culture.

François Osiurak1,2, Emanuelle Reynaud1.   

Abstract

Cumulative technological culture (CTC) refers to the increase in the efficiency and complexity of tools and techniques in human populations over generations. A fascinating question is to understand the cognitive origins of this phenomenon. Because CTC is definitely a social phenomenon, most accounts have suggested a series of cognitive mechanisms oriented toward the social dimension (e.g., teaching, imitation, theory of mind, and metacognition), thereby minimizing the technical dimension and the potential influence of non-social, cognitive skills. What if we have failed to see the elephant in the room? What if social cognitive mechanisms were only catalyzing factors and not the sufficient and necessary conditions for the emergence of CTC? In this article, we offer an alternative, unified cognitive approach to this phenomenon by assuming that CTC originates in non-social cognitive skills, namely technical-reasoning skills which enable humans to develop the technical potential necessary to constantly acquire and improve technical information. This leads us to discuss how theory of mind and metacognition, in concert with technical reasoning, can help boost CTC. The cognitive approach developed here opens up promising new avenues for reinterpreting classical issues (e.g., innovation, emulation vs. imitation, social vs. asocial learning, cooperation, teaching, and overimitation) in a field that has so far been largely dominated by other disciplines, such as evolutionary biology, mathematics, anthropology, archeology, economics, and philosophy.

Entities:  

Keywords:  cumulative technological culture; metacognition; social learning; technical reasoning; theory of mind

Mesh:

Year:  2019        PMID: 31739823     DOI: 10.1017/S0140525X19003236

Source DB:  PubMed          Journal:  Behav Brain Sci        ISSN: 0140-525X            Impact factor:   12.579


  19 in total

1.  Capuchin monkeys learn to use information equally well from individual exploration and social demonstration.

Authors:  Donna Kean; Elizabeth Renner; Mark Atkinson; Christine A Caldwell
Journal:  Anim Cogn       Date:  2022-09-05       Impact factor: 2.899

2.  Human biases limit cumulative innovation.

Authors:  Bill Thompson; Thomas L Griffiths
Journal:  Proc Biol Sci       Date:  2021-03-10       Impact factor: 5.349

3.  Characterising factors underlying praxis deficits in chronic left hemisphere stroke patients.

Authors:  Elisabeth Rounis; Ajay Halai; Gloria Pizzamiglio; Matthew A Lambon Ralph
Journal:  Cortex       Date:  2021-05-29       Impact factor: 4.644

4.  On the Temporal Dynamics of Tool Use.

Authors:  François Osiurak; Giovanni Federico; Maria A Brandimonte; Emanuelle Reynaud; Mathieu Lesourd
Journal:  Front Hum Neurosci       Date:  2020-12-07       Impact factor: 3.169

5.  New Caledonian crows keep 'valuable' hooked tools safer than basic non-hooked tools.

Authors:  Barbara C Klump; James Jh St Clair; Christian Rutz
Journal:  Elife       Date:  2021-12-21       Impact factor: 8.140

6.  Human cumulative culture and the exploitation of natural phenomena.

Authors:  Maxime Derex
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2021-12-13       Impact factor: 6.237

7.  Technical reasoning bolsters cumulative technological culture through convergent transformations.

Authors:  François Osiurak; Nicolas Claidière; Alexandre Bluet; Joël Brogniart; Salomé Lasserre; Timothé Bonhoure; Laura Di Rollo; Néo Gorry; Yohann Polette; Alix Saude; Giovanni Federico; Natalie Uomini; Emanuelle Reynaud
Journal:  Sci Adv       Date:  2022-03-02       Impact factor: 14.136

8.  Efficiency fosters cumulative culture across species.

Authors:  T Gruber; M Chimento; L M Aplin; D Biro
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2021-12-13       Impact factor: 6.237

9.  Carry-over effects of tool functionality and previous unsuccessfulness increase overimitation in children.

Authors:  Aurélien Frick; Hanna Schleihauf; Liam P Satchell; Thibaud Gruber
Journal:  R Soc Open Sci       Date:  2021-07-07       Impact factor: 2.963

10.  Negative observational learning might play a limited role in the cultural evolution of technology.

Authors:  Yo Nakawake; Yutaka Kobayashi
Journal:  Sci Rep       Date:  2022-01-19       Impact factor: 4.379

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