ArticlePerspectives on psychological science : a journal of the Association for Psychological Science2024
A Cognitive Computational Approach to Social and Collective Decision-Making.
Article in Perspectives on psychological science : a journal of the Association for Psychological Science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed.
- Payoff selectivity drives collective intelligence during dynamic resource tracking in humans.Nature communications · 2026Article
- Canonical decision computations underlie behavioral and neural signatures of cooperation in primates.Neuron · 2026Article
- Environmental Bridgebuilding: Connecting People Through Nature Conservation. The Example of the Barn Owl.Ecology and evolution · 2026Article
- A Bayesian perspective on observers' inference of group norms.NPJ science of learning · 2026Article
- Decision-Making in Repeated Games: Insights from Active Inference.Behavioral sciences (Basel, Switzerland) · 2025Review
- Feature-based reward learning shapes human social learning strategies.Nature human behaviour · 2025Article
- Individual differences in speed-accuracy trade-off influence social decision-making in dyads.Proceedings. Biological sciences · 2025Article
- Adaptive mechanisms of social and asocial learning in immersive collective foraging.Nature communications · 2025Article
- Adult age differences in the integration of values for self and other.Scientific reports · 2025Article
- Bridging theory and data: A computational workflow for cultural evolution.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Visual social information use in collective foraging.PLoS computational biology · 2024Article
- Article
- Collective incentives reduce over-exploitation of social information in unconstrained human groups.Nature communications · 2024Article
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Authors and funding
5 authors.
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Abstract
Collective dynamics play a key role in everyday decision-making. Whether social influence promotes the spread of accurate information and ultimately results in adaptive behavior or leads to false information cascades and maladaptive social contagion strongly depends on the cognitive mechanisms underlying social interactions. Here we argue that cognitive modeling, in tandem with experiments that allow collective dynamics to emerge, can mechanistically link cognitive processes at the individual and collective levels. We illustrate the strength of this cognitive computational approach with two highly successful cognitive models that have been applied to interactive group experiments: evidence-accumulation and reinforcement-learning models. We show how these approaches make it possible to simultaneously study (a) how individual cognition drives social systems, (b) how social systems drive individual cognition, and (c) the dynamic feedback processes between the two layers.
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