Cited by 515Child and Animal Learning DevelopmentSocial Robot Interaction and HRIAction Observation and Synchronization

Rational quantitative attribution of beliefs, desires and percepts in human mentalizing

Baker, Chris L., Jara-Ettinger, Julian, Saxe, Rebecca, Tenenbaum, Joshua B.·2017·Nature Human Behaviour

Integrity signals

Registry

Crossref · 10.1038/s41562-017-0064

Cites

2 of 2 references verified0 citation errors · 0 not checkable

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Claims other papers make about this one

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  • There are already many reasonable computational models that try to directly capture Theory-of-Mind.

    “there are already many reasonable computational models that try to directly capture this ability (e.g. 31; 32; 33; 34; 35; 10)”

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Authors
Baker, C. L., Jara-Ettinger, J., Saxe, R., & Tenenbaum, J. B.
Affiliations
Massachusetts Institute of Technology (US)
Corresponding author
Tenenbaum, Joshua B.
Venue
Nature Human Behaviour
Published
2017-03-13
Volume
1
Issue
4
ISSN
2397-3374 (ISSN-L)
OpenAlex
W2594035753
Cited by
515
References
2
Citations by year
2026: 52 · 2025: 51 · 2024: 55 · 2023: 104 · 2022: 65 · 2021: 70 · 2020: 37 · 2019: 41 · 2018: 28 · 2017: 11
FWCI
64.80
Type
journal article
Language
en
Open access
closed
Locations
  • Nature Human Behaviour (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
  • National Science Foundation
  • Defense Advanced Research Projects Agency
Topics
  • Social Sciences › Psychology › Developmental and Educational Psychology › Child and Animal Learning Development
  • Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
  • Social Sciences › Psychology › Social Psychology › Action Observation and Synchronization
Keywords
mentalization, theory of mind, mental state inference, partially observable Markov decision processes, expected utility, state estimation, social cognition

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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