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Cited by 227

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Intuitions of probabilities shape expectations about the future at 12 months and beyond

Open access
Téglás, Ernő, Girotto, Vittorio, Gonzalez, Michel, Bonatti, Luca L.·2007·Proceedings of the National Academy of Sciences

Abstract

Rational agents should integrate probabilities in their predictions about uncertain future events. However, whether humans can do this, and if so, how this ability originates, are controversial issues. Here, we show that 12-month-olds have rational expectations about the future based on estimations of event possibilities, without the need of sampling past experiences. We also show that such natural expectations influence preschoolers' reaction times, while frequencies modify motor responses, but not overt judgments, only after 4 years of age. Our results suggest that at the onset of human decision processes the mind contains an intuition of elementary probability that cannot be reduced to the encountered frequency of events or elementary heuristics.

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Metadata

Authors
Téglás, E., Girotto, V., Gonzalez, M., & Bonatti, L. L.
Venue
Proceedings of the National Academy of Sciences
Published
2007-11-27
Volume
104
Issue
48
Pages
19156-19159
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2071682360
Cited by
227
References
3
FWCI
8.31
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Intuitions of probabilities shape expectations about the future at 12 months and beyond. https://app.cochat.ai/papers/10.1073/pnas.0700271104
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Téglás, E., Girotto, V., Gonzalez, M., & Bonatti, L. L. (2007). Intuitions of probabilities shape expectations about the future at 12 months and beyond. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0700271104

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.