ReviewTrends in cognitive sciences2021
The computational challenge of social learning.
Review in Trends in cognitive sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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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Who cites it
29 citing papers in PubMed.
- Affective valence as a computational signal for learning value.Communications psychology · 2026Article
- Learning to adaptively cooperate through social interactions during childhood and adolescence.NPJ science of learning · 2026Article
- Selective observation following betrayal shapes the social inference landscape.PLoS computational biology · 2026Article
- Neural Bases of Affect-Based Impulsivity: A Decision Neuroscience Account.Computational psychiatry (Cambridge, Mass.) · 2026Review
- Neural Dynamics of Social Cognition: A Single-Trial Computational Analysis of Learning Under Uncertainty.Human brain mapping · 2026Article
- Computational learning phenotypes are not related to individual differences in resting-state fMRI connectivity.Frontiers in neuroscience · 2026Article
- 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
- Human Mentalizing as Rational Probabilistic Inference.Computational brain & behavior · 2025Article
- Feature-based reward learning shapes human social learning strategies.Nature human behaviour · 2025Article
- How the self-concept structures social role learning: insights from computational models.Royal Society open science · 2025Article
- Separable neural signals for reward and emotion prediction errors.Nature communications · 2025Article
- Self-other generalisation shapes social interaction and is disrupted in borderline personality disorder.eLife · 2025Article
- Mechanisms of mistrust: A Bayesian account of misinformation learning.PLoS computational biology · 2025Article
- Self-utility distance as a computational approach to understanding self-concept clarity.Communications psychology · 2025Article
- Understanding learning through uncertainty and bias.Communications psychology · 2025Review
- Distinct neural computations scale the violation of expected reward and emotion in social transgressions.Communications biology · 2025Article
- When to stop social learning from a predecessor in an information-foraging task.Evolutionary human sciences · 2025Article
- Transmission of societal stereotypes to individual-level prejudice through instrumental learning.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- An Active-Inference Approach to Second-Person Neuroscience.Perspectives on psychological science : a journal of the Association for Psychological Science · 2024Review
- Computational processes of simultaneous learning of stochasticity and volatility in humans.Nature communications · 2024Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
The complex reward structure of the social world and the uncertainty endemic to social contexts poses a challenge for modeling. For example, during social interactions, the actions of one person influence the internal states of another. These social dependencies make it difficult to formalize social learning problems in a mathematically tractable way. While it is tempting to dispense with these complexities, they are a defining feature of social life. Because the structure of social interactions challenges the simplifying assumptions often made in models, they make an ideal testbed for computational models of cognition. By adopting a framework that embeds existing social knowledge into the model, we can go beyond explaining behaviors in laboratory tasks to explaining those observed in the wild.
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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 OpenQuestion graph.