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The Me-File: An Event-Coding Approach to Self-Representation

Numerous authors have taken it for granted that people represent themselves or even have something like “a self”, but the underlying mechanisms remain a mystery. How do people represent themselves? Here I propose that they do so not any differently from how they represent other individuals, events,...

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Detalles Bibliográficos
Autor principal: Hommel, Bernhard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8361793/
https://www.ncbi.nlm.nih.gov/pubmed/34393932
http://dx.doi.org/10.3389/fpsyg.2021.698778
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author Hommel, Bernhard
author_facet Hommel, Bernhard
author_sort Hommel, Bernhard
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description Numerous authors have taken it for granted that people represent themselves or even have something like “a self”, but the underlying mechanisms remain a mystery. How do people represent themselves? Here I propose that they do so not any differently from how they represent other individuals, events, and objects: by binding codes representing the sensory consequences of being oneself into a Me-File, that is, into an event file integrating all the codes resulting from the behaving me. This amounts to a Humean bundle-self theory of selfhood, and I will explain how recent extensions of the Theory of Event Coding, a general theory of human perception and action control, provide all the necessary ingredients for specifying the mechanisms underlying such a theory. The Me-File concept is likely to provide a useful mechanistic basis for more specific and more theoretically productive experimentation, as well as for the construction of artificial agents with human-like selves.
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spelling pubmed-83617932021-08-14 The Me-File: An Event-Coding Approach to Self-Representation Hommel, Bernhard Front Psychol Psychology Numerous authors have taken it for granted that people represent themselves or even have something like “a self”, but the underlying mechanisms remain a mystery. How do people represent themselves? Here I propose that they do so not any differently from how they represent other individuals, events, and objects: by binding codes representing the sensory consequences of being oneself into a Me-File, that is, into an event file integrating all the codes resulting from the behaving me. This amounts to a Humean bundle-self theory of selfhood, and I will explain how recent extensions of the Theory of Event Coding, a general theory of human perception and action control, provide all the necessary ingredients for specifying the mechanisms underlying such a theory. The Me-File concept is likely to provide a useful mechanistic basis for more specific and more theoretically productive experimentation, as well as for the construction of artificial agents with human-like selves. Frontiers Media S.A. 2021-07-30 /pmc/articles/PMC8361793/ /pubmed/34393932 http://dx.doi.org/10.3389/fpsyg.2021.698778 Text en Copyright © 2021 Hommel. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Hommel, Bernhard
The Me-File: An Event-Coding Approach to Self-Representation
title The Me-File: An Event-Coding Approach to Self-Representation
title_full The Me-File: An Event-Coding Approach to Self-Representation
title_fullStr The Me-File: An Event-Coding Approach to Self-Representation
title_full_unstemmed The Me-File: An Event-Coding Approach to Self-Representation
title_short The Me-File: An Event-Coding Approach to Self-Representation
title_sort me-file: an event-coding approach to self-representation
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8361793/
https://www.ncbi.nlm.nih.gov/pubmed/34393932
http://dx.doi.org/10.3389/fpsyg.2021.698778
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