November 28, 2025Proceedings of the National Academy of SciencesOpen Access

How social learning enhances—or undermines—efficiency and flexibility in collective decision-making under uncertainty

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Authors

HSHidezo SuganumaBunkyo University KKKentaro Katahira HOHisashi Ohtsuki

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Implication

Agent-based simulations reveal that social learning influences efficiency and flexibility in group decisions under uncertainty, suggesting pathways for collective intelligence.

Key Points

Efficiency is achieved through social learning, enhancing decision-making in stable environments with minimal uncertainty.
Agent-based simulations indicate social learning can improve flexibility, allowing groups to better adapt to changing conditions.
Reinforcement learning models illustrate that both decision biasing and value shaping contribute to collective intelligence dynamics.
The coexistence of different social learning types highlights the complexity of collective decision systems in rapidly changing contexts.

Cite This Study

Suganuma et al. (2025) studied this question.

synapsesocial.com/papers/6928f11ba65b730b9ea7a330 https://doi.org/10.1073/pnas.2516827122

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Implication

Agent-based simulations reveal that social learning influences efficiency and flexibility in group decisions under uncertainty, suggesting pathways for collective intelligence.

How social learning enhances—or undermines—efficiency and flexibility in collective decision-making under uncertainty

Discussion

Member takes

Implication

Key Points

Cite This Study

How social learning enhances—or undermines—efficiency and flexibility in collective decision-making under uncertainty

Discussion

Member takes

Implication

Key Points

Cite This Study

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