Unlimited Associative Learning and the origins of consciousness: a primer and some predictions

Over the past two decades, Ginsburg and Jablonka have developed a novel approach to studying the evolutionary origins of consciousness: the Unlimited Associative Learning (UAL) framework. The central idea is that there is a distinctive type of learning that can serve as a transition marker for the e...

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Detalles Bibliográficos
Autores principales: Birch, Jonathan, Ginsburg, Simona, Jablonka, Eva
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7116763/
https://www.ncbi.nlm.nih.gov/pubmed/33597791
http://dx.doi.org/10.1007/s10539-020-09772-0
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author Birch, Jonathan
Ginsburg, Simona
Jablonka, Eva
author_facet Birch, Jonathan
Ginsburg, Simona
Jablonka, Eva
author_sort Birch, Jonathan
collection PubMed
description Over the past two decades, Ginsburg and Jablonka have developed a novel approach to studying the evolutionary origins of consciousness: the Unlimited Associative Learning (UAL) framework. The central idea is that there is a distinctive type of learning that can serve as a transition marker for the evolutionary transition from non-conscious to conscious life. The goal of this paper is to stimulate discussion of the framework by providing a primer on its key claims (Part I) and a clear statement of its main empirical predictions (Part II).
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spelling pubmed-71167632021-02-16 Unlimited Associative Learning and the origins of consciousness: a primer and some predictions Birch, Jonathan Ginsburg, Simona Jablonka, Eva Biol Philos Article Over the past two decades, Ginsburg and Jablonka have developed a novel approach to studying the evolutionary origins of consciousness: the Unlimited Associative Learning (UAL) framework. The central idea is that there is a distinctive type of learning that can serve as a transition marker for the evolutionary transition from non-conscious to conscious life. The goal of this paper is to stimulate discussion of the framework by providing a primer on its key claims (Part I) and a clear statement of its main empirical predictions (Part II). 2020-12-03 /pmc/articles/PMC7116763/ /pubmed/33597791 http://dx.doi.org/10.1007/s10539-020-09772-0 Text en https://creativecommons.org/licenses/by/4.0/ This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Birch, Jonathan
Ginsburg, Simona
Jablonka, Eva
Unlimited Associative Learning and the origins of consciousness: a primer and some predictions
title Unlimited Associative Learning and the origins of consciousness: a primer and some predictions
title_full Unlimited Associative Learning and the origins of consciousness: a primer and some predictions
title_fullStr Unlimited Associative Learning and the origins of consciousness: a primer and some predictions
title_full_unstemmed Unlimited Associative Learning and the origins of consciousness: a primer and some predictions
title_short Unlimited Associative Learning and the origins of consciousness: a primer and some predictions
title_sort unlimited associative learning and the origins of consciousness: a primer and some predictions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7116763/
https://www.ncbi.nlm.nih.gov/pubmed/33597791
http://dx.doi.org/10.1007/s10539-020-09772-0
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