Human learning of probability distributions is biased toward moderate structural complexity

Tianyuan Teng, Li Kevin Wenliang, Hang Zhang

Open source

DOI
10.1038/s41467-026-76247-3
Published
2026-08-08
Container
Nature Communications
Publisher
Springer Science and Business Media LLC
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1038/s41467-026-76247-3,
  title = {Human learning of probability distributions is biased toward moderate structural complexity},
  author = {Tianyuan Teng and Li Kevin Wenliang and Hang Zhang},
  year = {2026},
  journal = {Nature Communications},
  doi = {10.1038/s41467-026-76247-3},
  url = {https://doi.org/10.1038/s41467-026-76247-3}
}

RIS

TY  - JOUR
TI  - Human learning of probability distributions is biased toward moderate structural complexity
AU  - Tianyuan Teng
AU  - Li Kevin Wenliang
AU  - Hang Zhang
PY  - 2026
JO  - Nature Communications
DO  - 10.1038/s41467-026-76247-3
UR  - https://doi.org/10.1038/s41467-026-76247-3
ER  - 

APA

Teng, T., Wenliang, L. K., & Zhang, H. (2026). Human learning of probability distributions is biased toward moderate structural complexity. Nature Communications. https://doi.org/10.1038/s41467-026-76247-3

Source records