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Fluid Intelligence Emerges from Representing Relations
Based on recent findings in cognitive neuroscience and psychology as well as computational models of working memory and reasoning, I argue that fluid intelligence (fluid reasoning) can amount to representing in the mind the key relation(s) for the task at hand. Effective representation of relations...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9396997/ https://www.ncbi.nlm.nih.gov/pubmed/35997406 http://dx.doi.org/10.3390/jintelligence10030051 |
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author | Chuderski, Adam |
author_facet | Chuderski, Adam |
author_sort | Chuderski, Adam |
collection | PubMed |
description | Based on recent findings in cognitive neuroscience and psychology as well as computational models of working memory and reasoning, I argue that fluid intelligence (fluid reasoning) can amount to representing in the mind the key relation(s) for the task at hand. Effective representation of relations allows for enormous flexibility of thinking but depends on the validity and robustness of the dynamic patterns of argument–object (role–filler) bindings, which encode relations in the brain. Such a reconceptualization of the fluid intelligence construct allows for the simplification and purification of its models, tests, and potential brain mechanisms. |
format | Online Article Text |
id | pubmed-9396997 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93969972022-08-24 Fluid Intelligence Emerges from Representing Relations Chuderski, Adam J Intell Article Based on recent findings in cognitive neuroscience and psychology as well as computational models of working memory and reasoning, I argue that fluid intelligence (fluid reasoning) can amount to representing in the mind the key relation(s) for the task at hand. Effective representation of relations allows for enormous flexibility of thinking but depends on the validity and robustness of the dynamic patterns of argument–object (role–filler) bindings, which encode relations in the brain. Such a reconceptualization of the fluid intelligence construct allows for the simplification and purification of its models, tests, and potential brain mechanisms. MDPI 2022-08-02 /pmc/articles/PMC9396997/ /pubmed/35997406 http://dx.doi.org/10.3390/jintelligence10030051 Text en © 2022 by the author. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chuderski, Adam Fluid Intelligence Emerges from Representing Relations |
title | Fluid Intelligence Emerges from Representing Relations |
title_full | Fluid Intelligence Emerges from Representing Relations |
title_fullStr | Fluid Intelligence Emerges from Representing Relations |
title_full_unstemmed | Fluid Intelligence Emerges from Representing Relations |
title_short | Fluid Intelligence Emerges from Representing Relations |
title_sort | fluid intelligence emerges from representing relations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9396997/ https://www.ncbi.nlm.nih.gov/pubmed/35997406 http://dx.doi.org/10.3390/jintelligence10030051 |
work_keys_str_mv | AT chuderskiadam fluidintelligenceemergesfromrepresentingrelations |