Cited by 34Psychiatry, Mental Health, NeuroscienceSocial Robot Interaction and HRIReinforcement Learning in Robotics

Language and culture internalization for human-like autotelic AI

Colas, Cédric, Karch, Tristan, Moulin-Frier, Clément, Oudeyer, Pierre-Yves·2022·Nature Machine Intelligence

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Registry

Crossref · 10.1038/s42256-022-00591-4

Cites

73 of 73 references verified0 citation errors · 0 not checkable

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Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Language could be a strong means of shaping what agents can do.

    “Language may be a powerful tool for shaping agent capabilities (Colas et al., 2022).”

    From Scaling Instructable Agents Across Many Simulated Worlds (2024) · cites this paper as Colas et al., 2022

  • LLMs act as models of human culture, facilitating cultural transmission across individuals and generations.

    “Trained on extensive human text data, both historical and contemporary, LLMs act as models of human culture 25 , facilitating cultural transmission across individuals and generations.”

    From Machine culture (2023) · cites this paper as [25]

  • Large language models are facilitating the transmission of cultural knowledge and redefining the value of human intellectual skills.

    “Large language models (LLMs) are facilitating the transmission of cultural knowledge and redefining the value of human intellectual skills.”

    From Machine culture (2023) · cites this paper as [25]

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Authors
Colas, C., Karch, T., Moulin-Frier, C., & Oudeyer, P.-Y.
Affiliations
Institut national de recherche en sciences et technologies du numérique (FR)
Corresponding author
Colas, Cédric
Venue
Nature Machine Intelligence
Published
2022-12-20
Volume
4
Issue
12
Pages
1068-1076
ISSN
2522-5839 (ISSN-L)
OpenAlex
W4313449193
Cited by
34
References
73
Citations by year
2026: 6 · 2025: 6 · 2024: 14 · 2023: 7 · 2022: 1
FWCI
2.31
Type
journal article
Language
en
Open access
closed
Locations
  • Nature Machine Intelligence (publishedVersion)
  • HAL (submittedVersion)
Funders
Agence Nationale de la Recherche (ANR-20-CE23-0006)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Psychiatry, Mental Health, Neuroscience
  • Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
  • Physical Sciences › Computer Science › Artificial Intelligence › Reinforcement Learning in Robotics
Keywords
language acquisition, cultural internalization, intrinsic motivation, human-like AI, sociocultural learning, cognitive development

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