From Deep Learning to Deep Reflection: Toward an Appreciation of the Integrated Nature of Cognition and a Viable Theoretical Framework for Cultural Evolution

Research output: Chapter in Book/Report/Conference proceedingConference paper

3 Citations (Scopus)

Abstract

Although Darwinian models are rampant in the social sciences, social scientists do not face the problem that motivated Darwin's theory of natural selection: the problem of explaining how lineages evolve despite that any traits they acquire are regularly discarded at the end of the lifetime of the individuals that acquired them. While the rationale for framing culture as an evolutionary process is correct, it does not follow that culture is a Darwinian or selectionist process, or that population genetics provides viable starting points for modeling cultural change. This paper lays out step-by-step arguments as to why a selectionist approach to cultural evolution is inappropriate, focusing on the lack of randomness, and lack of a self-assembly code. It summarizes an alternative evolutionary approach to culture: self-other reorganization via context-driven actualization of potential.

Original languageEnglish
Title of host publicationProceedings of the 41st Annual Meeting of the Cognitive Science Society
Subtitle of host publicationCreativity + Cognition + Computation, CogSci 2019
PublisherThe Cognitive Science Society
Pages1801-1807
Number of pages7
ISBN (Electronic)0991196775, 9780991196777
Publication statusPublished - 2019
Event41st Annual Meeting of the Cognitive Science Society: Creativity + Cognition + Computation, CogSci 2019 - Montreal, Canada
Duration: 24 Jul 201927 Jul 2019

Publication series

NameProceedings of the 41st Annual Meeting of the Cognitive Science Society: Creativity + Cognition + Computation, CogSci 2019

Conference

Conference41st Annual Meeting of the Cognitive Science Society: Creativity + Cognition + Computation, CogSci 2019
Country/TerritoryCanada
CityMontreal
Period24/07/1927/07/19

Bibliographical note

Funding Information:
This research was supported by grant 62R06523 from the Natural Sciences and Engineering Research Council of Canada.

Publisher Copyright:
© Cognitive Science Society: Creativity + Cognition + Computation, CogSci 2019.All rights reserved.

Copyright:
Copyright 2022 Elsevier B.V., All rights reserved.

Keywords

  • acquired trait
  • cultural evolution
  • inheritance
  • natural selection
  • population genetics
  • self-other reorganization

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