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Structured Sequence Learning: Animal Abilities, Cognitive Operations, and Language Evolution
Journal article   Open access   Peer reviewed

Structured Sequence Learning: Animal Abilities, Cognitive Operations, and Language Evolution

Christopher I. Petkov and Carel ten Cate
Topics in cognitive science, Vol.12(3), pp.828-842
07/01/2020
DOI: 10.1111/tops.12444
PMCID: PMC7537567
PMID: 31359600
url
https://doi.org/10.1111/tops.12444View
Published (Version of record) Open Access

Abstract

Human language is a salient example of a neurocognitive system that is specialized to process complex dependencies between sensory events distributed in time, yet how this system evolved and specialized remains unclear. Artificial Grammar Learning (AGL) studies have generated a wealth of insights into how human adults and infants process different types of sequencing dependencies of varying complexity. The AGL paradigm has also been adopted to examine the sequence processing abilities of nonhuman animals. We critically evaluate this growing literature in species ranging from mammals (primates and rats) to birds (pigeons, songbirds, and parrots) considering also cross-species comparisons. The findings are contrasted with seminal studies in human infants that motivated the work in nonhuman animals. This synopsis identifies advances in knowledge and where uncertainty remains regarding the various strategies that nonhuman animals can adopt for processing sequencing dependencies. The paucity of evidence in the few species studied to date and the need for follow-up experiments indicate that we do not yet understand the limits of animal sequence processing capacities and thereby the evolutionary pattern. This vibrant, yet still budding, field of research carries substantial promise for advancing knowledge on animal abilities, cognitive substrates, and language evolution.
Psychology Psychology, Experimental Social Sciences

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