2018
DOI: 10.1101/281543
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Grammars of action in human behavior and evolution

Abstract: Distinctive human behaviors from tool-making to language are thought to rely on a uniquely evolved capacity for hierarchical action sequencing. Unfortunately, testing of this idea has been hampered by a lack of objective, generalizable methods for measuring the structural complexity of real-world behaviors. Here we present a data-driven approach for quantifying hierarchical structure by extracting action grammars from basic ethograms. We apply this method to the evolutionarily-relevant behavior of stone tool-m… Show more

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Cited by 15 publications
(11 citation statements)
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References 64 publications
(86 reference statements)
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“…We see similar long-range power-law structure in the sequential organization of human food preparation and cooking. Cooking is a relatively modern and human-unique behavior [104], however, and may have arisen after humans developed more deeply hierarchical and highly planned tool usage behaviors [84,105]. Yet, we also observe similar long-range organization in the movement patterns of Drosophila and zebrafish, consistent with previous reports for birdsong [2].…”
Section: Discussionsupporting
confidence: 89%
“…We see similar long-range power-law structure in the sequential organization of human food preparation and cooking. Cooking is a relatively modern and human-unique behavior [104], however, and may have arisen after humans developed more deeply hierarchical and highly planned tool usage behaviors [84,105]. Yet, we also observe similar long-range organization in the movement patterns of Drosophila and zebrafish, consistent with previous reports for birdsong [2].…”
Section: Discussionsupporting
confidence: 89%
“…Methods for this study have previously been made available as a preprint 81 and are reproduced here.…”
Section: Methodsmentioning
confidence: 99%
“…Finally, performance in unconstrained real-world situations can be related to individual differences and/or experience-related plasticity in neuroanatomical, cognitive, affective, and perceptual-motor traits assessed in the lab (e.g., Hecht et al, 2015;Prat et al, 2020). This will require novel methods for quantifying technological performance (e.g., Pargeter et al, 2019;Stout et al, 2018) but offers a critical links between structure, function, and behavior needed to place variation in a broader evolutionary and developmental frame (Stout and Hecht, 2017).…”
Section: Collaborationmentioning
confidence: 99%