Literature DB >> 28751121

Autocatalytic networks in cognition and the origin of culture.

Liane Gabora1, Mike Steel2.   

Abstract

It has been proposed that cultural evolution was made possible by a cognitive transition brought about by onset of the capacity for self-triggered recall and rehearsal. Here we develop a novel idea that models of collectively autocatalytic networks, developed for understanding the origin and organization of life, may also help explain the origin of the kind of cognitive structure that makes cultural evolution possible. In this setting, mental representations (for example, memories, concepts, ideas) play the role of 'molecules', and 'reactions' involve the evoking of one representation by another through remindings and associations. In the 'episodic mind', representations are so coarse-grained (encode too few properties) that such reactions must be 'catalyzed' by external stimuli. As cranial capacity increased, representations became more fine-grained (encoded more features), which facilitated recursive catalysis and culminated in free-association and streams of thought. At this point, the mind could combine representations and adapt them to specific needs and situations, and thereby contribute to cultural evolution. In this paper, we propose and study a simple and explicit cognitive model that gives rise naturally to autocatalytic networks, and thereby provides a possible mechanism for the transition from a pre-cultural episodic mind to a mimetic mind.
Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Autocatalytic network; Conceptual closure; Episodic; Mimetic; Representational redescription; Stream of thought

Mesh:

Year:  2017        PMID: 28751121     DOI: 10.1016/j.jtbi.2017.07.022

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  10 in total

1.  Autocatalytic networks in biology: structural theory and algorithms.

Authors:  Mike Steel; Wim Hordijk; Joana C Xavier
Journal:  J R Soc Interface       Date:  2019-02-28       Impact factor: 4.118

2.  The structure of autocatalytic networks, with application to early biochemistry.

Authors:  Mike Steel; Joana C Xavier; Daniel H Huson
Journal:  J R Soc Interface       Date:  2020-10-07       Impact factor: 4.118

3.  A model of the transition to behavioural and cognitive modernity using reflexively autocatalytic networks.

Authors:  Liane Gabora; Mike Steel
Journal:  J R Soc Interface       Date:  2020-10-28       Impact factor: 4.118

4.  On the emergence of cognition: from catalytic closure to neuroglial closure.

Authors:  Jose Luis Perez Velazquez
Journal:  J Biol Phys       Date:  2020-03-04       Impact factor: 1.365

5.  What Are Group Level Traits and How Do They Evolve?

Authors:  Burton Voorhees
Journal:  Integr Psychol Behav Sci       Date:  2022-04-27

6.  A Dynamic Autocatalytic Network Model of Therapeutic Change.

Authors:  Kirthana Ganesh; Liane Gabora
Journal:  Entropy (Basel)       Date:  2022-04-13       Impact factor: 2.738

7.  An evolutionary process without variation and selection.

Authors:  Liane Gabora; Mike Steel
Journal:  J R Soc Interface       Date:  2021-07-28       Impact factor: 4.293

8.  Ecological Clues to the Nature of Consciousness.

Authors:  Robert E Ulanowicz
Journal:  Entropy (Basel)       Date:  2020-05-30       Impact factor: 2.524

9.  Modeling Discontinuous Cultural Evolution: The Impact of Cross-Domain Transfer.

Authors:  Kirthana Ganesh; Liane Gabora
Journal:  Front Psychol       Date:  2022-02-24

10.  Beyond two modes of thought: A quantum model of how three cognitive variables yield conceptual change.

Authors:  Mika Winslow; Liane Gabora
Journal:  Front Psychol       Date:  2022-09-27
  10 in total

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