The ABC of Heuristics: Approximate Bayesian Computation as a Framework for Heuristic Inference
- DOI
- 10.31234/osf.io/ur9dk_v3
- Published
- 2025-11-01
- Container
- Not recorded
- Publisher
- Not recorded
- Open access
- no
Credibility signals
limited evidence Score 39/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.31234/osf.io/ur9dk_v3,
title = {The ABC of Heuristics: Approximate Bayesian Computation as a Framework for Heuristic Inference},
author = {Gong T and Valentin S and Bramley NR and Lucas CG.},
year = {2025},
doi = {10.31234/osf.io/ur9dk_v3},
url = {https://doi.org/10.31234/osf.io/ur9dk_v3}
}RIS
TY - JOUR TI - The ABC of Heuristics: Approximate Bayesian Computation as a Framework for Heuristic Inference AU - Gong T AU - Valentin S AU - Bramley NR AU - Lucas CG. PY - 2025 DO - 10.31234/osf.io/ur9dk_v3 UR - https://doi.org/10.31234/osf.io/ur9dk_v3 ER -
APA
T, G., S, V., NR, B., & CG., L. (2025). The ABC of Heuristics: Approximate Bayesian Computation as a Framework for Heuristic Inference. https://doi.org/10.31234/osf.io/ur9dk_v3
Source records
- europe-pmc · retrieved 2026-09-25T05:26:24.090Z