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How Important Is Language for Human-Like Intelligence

Dados Bibliográficos

ID21786333
AutoresGary Lupyan (0000-0001-8441-7433, University of Wisconsin–Madison, autor correspondente), Hunter Gentry (0000-0003-4189-0911, University of Central Florida), Martin Zettersten (0000-0002-0444-7059, University of California San Diego)
Ano2026
Volume21
Fascículo1
Páginas115-120
Data de publicação2026-01-01
Open AccessSim
TipoARTICLE
PeriódicoPerspectives on Psychological Science (JOURNAL)
Identificadores do periódicoISSN: 1745-6916 • E-ISSN: 1745-6924
EditoraSAGE Publications (PUBLISHER • US)
DOI10.1177/17456916251398539
PMID41499467
OpenAlexW7118273238
IdiomaEN
Referências citadas35

We use language to communicate our thoughts. But is language merely the expression of thoughts, which are themselves produced by other, nonlinguistic parts of our minds? Or does language play a more transformative role in human cognition, allowing us to have thoughts that we otherwise could (or would) not have? Recent developments in artificial intelligence (AI) and cognitive science have reinvigorated this old question. We argue that language may hold the key to the emergence of both more general AI systems and central aspects of human intelligence. We highlight two related properties of language that make it such a powerful tool for developing domain-general abilities. First, language offers compact representations that make it easier to represent and reason about many abstract concepts (e.g., exact numerosity). Second, these compressed representations are the iterated output of collective minds. In learning a language, we learn a treasure trove of culturally evolved abstractions. Taken together, these properties mean that a sufficiently powerful learning system exposed to language—whether biological or artificial—learns a compressed model of the world, reverse engineering many of the conceptual and causal structures that support human (and human-like) thought

Artificial general intelligence · Cognition · Human language · Language acquisition · Language technology · Transformative learning · Treasure · Categorization, perception, and language · Cognitive Science and Education Research · Language and cultural evolution

  • Furnishing the Mind

    Jesse Prinz, Jesse J Prinz•Furnishing the Mind•2002

  • Dissociating language and thought in large language models

    Open Access•Kyle Mahowald, Anna A Ivanova et al.•Trends in Cognitive Sciences•2024

  • Perceptual symbol systems

    Open Access•Lawrence W Barsalou•Behavioral and Brain Sciences•1999

  • Finding categories through words

    Open Access•Martin Zettersten, Gary Lupyan•Cognition•2020

  • How Nature Meets Nurture

    Jeffrey Lidz, Annie Gagliardi•Annual Review of Linguistics•2014

  • Learning incommensurate concepts

    Open Access•Hayley Clatterbuck, Hunter Gentry•Synthese•2025

  • Hume’s Externalist Gambit

    Open Access•Hayley Clatterbuck•Philosophy of Science•2024

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