The measurement, evolution, and neural representation of action grammars of human behavior

Abstract Human behaviors from toolmaking to language are thought to rely on a uniquely evolved capacity for hierarchical action sequencing. Testing this idea will require objective, generalizable methods for measuring the structural complexity of real-world behavior. Here we present a data-driven ap...

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Autores principales:	Dietrich Stout, Thierry Chaminade, Jan Apel, Ali Shafti, A. Aldo Faisal
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/3275ee33efd74936a7aaceb83f835f6f
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id	oai:doaj.org-article:3275ee33efd74936a7aaceb83f835f6f
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spelling	oai:doaj.org-article:3275ee33efd74936a7aaceb83f835f6f2021-12-02T14:33:58ZThe measurement, evolution, and neural representation of action grammars of human behavior10.1038/s41598-021-92992-52045-2322https://doaj.org/article/3275ee33efd74936a7aaceb83f835f6f2021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-92992-5https://doaj.org/toc/2045-2322Abstract Human behaviors from toolmaking to language are thought to rely on a uniquely evolved capacity for hierarchical action sequencing. Testing this idea will require objective, generalizable methods for measuring the structural complexity of real-world behavior. Here we present a data-driven approach for extracting action grammars from basic ethograms, exemplified with respect to the evolutionarily relevant behavior of stone toolmaking. We analyzed sequences from the experimental replication of ~ 2.5 Mya Oldowan vs. ~ 0.5 Mya Acheulean tools, finding that, while using the same “alphabet” of elementary actions, Acheulean sequences are quantifiably more complex and Oldowan grammars are a subset of Acheulean grammars. We illustrate the utility of our complexity measures by re-analyzing data from an fMRI study of stone toolmaking to identify brain responses to structural complexity. Beyond specific implications regarding the co-evolution of language and technology, this exercise illustrates the general applicability of our method to investigate naturalistic human behavior and cognition.Dietrich StoutThierry ChaminadeJan ApelAli ShaftiA. Aldo FaisalNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Dietrich Stout Thierry Chaminade Jan Apel Ali Shafti A. Aldo Faisal The measurement, evolution, and neural representation of action grammars of human behavior
description	Abstract Human behaviors from toolmaking to language are thought to rely on a uniquely evolved capacity for hierarchical action sequencing. Testing this idea will require objective, generalizable methods for measuring the structural complexity of real-world behavior. Here we present a data-driven approach for extracting action grammars from basic ethograms, exemplified with respect to the evolutionarily relevant behavior of stone toolmaking. We analyzed sequences from the experimental replication of ~ 2.5 Mya Oldowan vs. ~ 0.5 Mya Acheulean tools, finding that, while using the same “alphabet” of elementary actions, Acheulean sequences are quantifiably more complex and Oldowan grammars are a subset of Acheulean grammars. We illustrate the utility of our complexity measures by re-analyzing data from an fMRI study of stone toolmaking to identify brain responses to structural complexity. Beyond specific implications regarding the co-evolution of language and technology, this exercise illustrates the general applicability of our method to investigate naturalistic human behavior and cognition.
format	article
author	Dietrich Stout Thierry Chaminade Jan Apel Ali Shafti A. Aldo Faisal
author_facet	Dietrich Stout Thierry Chaminade Jan Apel Ali Shafti A. Aldo Faisal
author_sort	Dietrich Stout
title	The measurement, evolution, and neural representation of action grammars of human behavior
title_short	The measurement, evolution, and neural representation of action grammars of human behavior
title_full	The measurement, evolution, and neural representation of action grammars of human behavior
title_fullStr	The measurement, evolution, and neural representation of action grammars of human behavior
title_full_unstemmed	The measurement, evolution, and neural representation of action grammars of human behavior
title_sort	measurement, evolution, and neural representation of action grammars of human behavior
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/3275ee33efd74936a7aaceb83f835f6f
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The measurement, evolution, and neural representation of action grammars of human behavior

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