Preschoolers' Chicken game choices are best explained by reward-based learning with a higher learning rate for the competitive opponent¶
Claim · All claims
Evidence · 1 study (2 entries) · causalr2·q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
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This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? Among hierarchical Bayesian RL models, a simple reward-based model with separate learning rates per opponent best fit preschoolers' trial-by-trial choices. → Zhang 2026
q2 i? Preschoolers updated more strongly from outcomes when facing the high-competitive opponent. → Zhang 2026 (2)
Evidence¶
Zhang 2026¶
Zhang, R., Zhang, L., Hao, X.-M., Dreher, J.-C., & Qu, C. (2026). Learning to adaptively cooperate through social interactions during childhood and adolescence. npj Science of Learning. https://doi.org/10.1038/s41539-026-00423-9
q2 · i? · causal · r2
Hierarchical Bayesian computational modeling of Study 1 choices; LOOIC comparison favored the reward-based two-learning-rate model with preference parameter, and posterior predictive checks showed high trial-level correlations (rLCO = 0.86, rHCO = 0.85).
"Further model comparison revealed that M1 -3 was the best-fitting model (LOOIC = 4564.48), which posited that children's cooperative behaviors were based on the current reward, following a simple RL rule, and that children had different learning rates for different opponents."
Zhang 2026 (2)¶
Zhang, R., Zhang, L., Hao, X.-M., Dreher, J.-C., & Qu, C. (2026). Learning to adaptively cooperate through social interactions during childhood and adolescence. npj Science of Learning. https://doi.org/10.1038/s41539-026-00423-9
q2 · i? · causal · r2
Group-level hyperparameters of the winning model: mean learning rate for HCO was 0.32 versus 0.20 for LCO; a Bayesian Wilcoxon Signed-Rank Test found a significant difference (BF₁₀ > 100).
"Preschoolers showed higher learning rates when interacting with HCO (M = 0.32, SD = 0.11, 95% HDI = [0.105, 0.561]) than with LCO (M = 0.20, SD = 0.15, 95% HDI = [0.2×10-4, 0.519])."
Discussion¶
Related Claims¶
- Higher reward sensitivity (BAS) is associated with more competitive Go straight choices in children — related
- Learning-rate asymmetries between opponent types reverse across grade groups, with a non-monotonic age trend — related
- Model support shifts from reward-based learning in early primary school to belief-based opponent tracking from grades 4-5 onward — related
- Preschoolers gradually learn to cooperate more with high-competitive than low-competitive opponents in the Chicken game — related
- An instructive reinforcement learning model with a free constant learning rate best explains participants' contingency learning — related
- School-age children and adolescents distinguish competitive from cooperative opponents, with cooperation peaking in late childhood — related
- A reinforcement learning model with separate surprise and uncertainty learning-rate parameters per condition best fits gambling behavior, though individual parameter estimates did not reach significance — related
- Children's reinforcement learning is best fit by a one-learning-rate model, whereas adolescents and adults are best fit by Bayesian models incorporating hidden-agent beliefs — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
preschoolers-reward-based-learning-competitive-opponent |
title |
Preschoolers' Chicken game choices are best explained by reward-based learning with a higher learning rate for the competitive opponent |
description |
Preschoolers' Chicken game choices are best explained by reward-based learning with a higher learning rate for the competitive opponent |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-26 |
trust |
unverified — no one has confirmed this page's content |
sources |
2 — zhang-2026, zhang-2026-2 |
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