ArticleProceedings of the National Academy of Sciences of the United States of America2024
Humans flexibly integrate social information despite interindividual differences in reward.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed.
- Dopamine depletion in Parkinson's increases directed but not random exploration.Science advances · 2026Article
- Representational capacity shapes both the "whether" and "how" of social learning.PLoS computational biology · 2026Article
- Semantic knowledge guides innovation and drives cultural evolution.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Review
- Social information creates self-fulfilling prophecies in judgments of pain, vicarious pain, and cognitive effort.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Social learning and exploration-exploitation dilemma in decision-making.Frontiers in neural circuits · 2026Review
- How social learning enhances-or undermines-efficiency and flexibility in collective decision-making under uncertainty.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Leveling up fun: learning progress, expectations, and success influence enjoyment in video games.Scientific reports · 2025Article
- Feature-based reward learning shapes human social learning strategies.Nature human behaviour · 2025Article
- Social inequity disrupts reward-based learning.Communications psychology · 2025Article
- Adaptive mechanisms of social and asocial learning in immersive collective foraging.Nature communications · 2025Article
- A Rational Framework for Group-Based Selective Social Learning.Open mind : discoveries in cognitive science · 2025Article
- Collective incentives reduce over-exploitation of social information in unconstrained human groups.Nature communications · 2024Article
- Group Coordination Catalyzes Individual and Cultural Intelligence.Open mind : discoveries in cognitive science · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
There has been much progress in understanding human social learning, including recent studies integrating social information into the reinforcement learning framework. Yet previous studies often assume identical payoffs between observer and demonstrator, overlooking the diversity of social information in real-world interactions. We address this gap by introducing a socially correlated bandit task that accommodates payoff differences among participants, allowing for the study of social learning under more realistic conditions. Our Social Generalization (SG) model, tested through evolutionary simulations and two online experiments, outperforms existing models by incorporating social information into the generalization process, but treating it as noisier than individual observations. Our findings suggest that human social learning is more flexible than previously believed, with the SG model indicating a potential resource-rational trade-off where social learning partially replaces individual exploration. This research highlights the flexibility of humans' social learning, allowing us to integrate social information from others with different preferences, skills, or goals.
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What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.