Young children build consensus in networks with local information
Isabelle Brocas1,2,3, Juan D Carrillo4,5,6, Ulysses Rios1
1Economics Department, University of Southern California, Los Angeles, CA, USA.
Nature Human Behaviour
|May 4, 2026
Summary
Young children build consensus by adopting distinct roles and using flexible decision rules. This strategy, observed in a controlled experiment, enables them to outperform computational algorithms in complex group problem-solving scenarios.
Area of Science:
- Cognitive Science
- Developmental Psychology
- Social Dynamics
Background:
- Understanding consensus-building in groups with limited information is crucial.
- Previous research often focuses on adults or simpler decision-making processes.
Purpose of the Study:
- To identify factors supporting consensus building in young children under information constraints.
- To compare children's consensus-reaching abilities with computational algorithms.
Main Methods:
- A controlled laboratory experiment involving 150 children aged 5-8 years in the USA.
- Analysis of role adoption (leader, debater, closer) and decision rule flexibility.
- Comparison of children's convergence rates with a computational algorithm under varying network observability.
Main Results:
- Consensus was facilitated by heterogeneous role adoption and flexible decision rules, mimicking the wisdom of the crowd.
- Children achieved consensus 74% of the time, significantly outperforming a computational algorithm (35%).
- A strong age progression was observed, with older children showing a greater likelihood of reaching consensus.
Conclusions:
- Young children possess sophisticated strategies for group consensus building, even with limited information.
- The findings highlight the importance of social roles and adaptive decision rules in collective problem-solving.
- This research provides insights into children's navigation of complex social environments and collective decision-making.
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