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The Wiring of Intelligence

The positive manifold of intelligence has fascinated generations of scholars in human ability. In the past century, various formal explanations have been proposed, including the dominant g factor, the revived sampling theory, and the recent multiplier effect model and mutualism model. In this articl...

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Autores principales: Savi, Alexander O., Marsman, Maarten, van der Maas, Han L. J., Maris, Gunter K. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7433699/
https://www.ncbi.nlm.nih.gov/pubmed/31647746
http://dx.doi.org/10.1177/1745691619866447
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author Savi, Alexander O.
Marsman, Maarten
van der Maas, Han L. J.
Maris, Gunter K. J.
author_facet Savi, Alexander O.
Marsman, Maarten
van der Maas, Han L. J.
Maris, Gunter K. J.
author_sort Savi, Alexander O.
collection PubMed
description The positive manifold of intelligence has fascinated generations of scholars in human ability. In the past century, various formal explanations have been proposed, including the dominant g factor, the revived sampling theory, and the recent multiplier effect model and mutualism model. In this article, we propose a novel idiographic explanation. We formally conceptualize intelligence as evolving networks in which new facts and procedures are wired together during development. The static model, an extension of the Fortuin–Kasteleyn model, provides a parsimonious explanation of the positive manifold and intelligence’s hierarchical factor structure. We show how it can explain the Matthew effect across developmental stages. Finally, we introduce a method for studying growth dynamics. Our truly idiographic approach offers a new view on a century-old construct and ultimately allows the fields of human ability and human learning to coalesce.
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spelling pubmed-74336992020-09-04 The Wiring of Intelligence Savi, Alexander O. Marsman, Maarten van der Maas, Han L. J. Maris, Gunter K. J. Perspect Psychol Sci Article The positive manifold of intelligence has fascinated generations of scholars in human ability. In the past century, various formal explanations have been proposed, including the dominant g factor, the revived sampling theory, and the recent multiplier effect model and mutualism model. In this article, we propose a novel idiographic explanation. We formally conceptualize intelligence as evolving networks in which new facts and procedures are wired together during development. The static model, an extension of the Fortuin–Kasteleyn model, provides a parsimonious explanation of the positive manifold and intelligence’s hierarchical factor structure. We show how it can explain the Matthew effect across developmental stages. Finally, we introduce a method for studying growth dynamics. Our truly idiographic approach offers a new view on a century-old construct and ultimately allows the fields of human ability and human learning to coalesce. SAGE Publications 2019-10-24 2019-11 /pmc/articles/PMC7433699/ /pubmed/31647746 http://dx.doi.org/10.1177/1745691619866447 Text en © The Author(s) 2019 http://www.creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Article
Savi, Alexander O.
Marsman, Maarten
van der Maas, Han L. J.
Maris, Gunter K. J.
The Wiring of Intelligence
title The Wiring of Intelligence
title_full The Wiring of Intelligence
title_fullStr The Wiring of Intelligence
title_full_unstemmed The Wiring of Intelligence
title_short The Wiring of Intelligence
title_sort wiring of intelligence
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7433699/
https://www.ncbi.nlm.nih.gov/pubmed/31647746
http://dx.doi.org/10.1177/1745691619866447
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