ArticlePLoS computational biology2020
Flocking in complex environments-Attention trade-offs in collective information processing.
Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- How volant seabirds benefit from sub-surface predators during multi-predator feeding aggregations.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026Review
- Payoff selectivity drives collective intelligence during dynamic resource tracking in humans.Nature communications · 2026Article
- Behavioural response of prey to repeated attacks by non-coordinating predators.Scientific reports · 2025Article
- Adaptive mechanisms of social and asocial learning in immersive collective foraging.Nature communications · 2025Article
- Voronoi diagrams and Delaunay triangulation for modelling animal territorial behaviour.Ecology and evolution · 2024Article
- Collective incentives reduce over-exploitation of social information in unconstrained human groups.Nature communications · 2024Article
- Article
- Functional duality in group criticality via ambiguous interactions.PLoS computational biology · 2023Article
- Alignment with neighbours enables escape from dead ends in flocking models.Journal of the Royal Society, Interface · 2022Article
- Selective interaction and its effect on collective motion.Scientific reports · 2022Article
- The impact of individual perceptual and cognitive factors on collective states in a data-driven fish school model.PLoS computational biology · 2022Article
- Contagion dynamics in self-organized systems of self-propelled agents.Scientific reports · 2022Article
- Self-organization in natural swarms ofScience advances · 2021Article
- Lévy Walk in Swarm Models Based on Bayesian and Inverse Bayesian Inference.Computational and structural biotechnology journal · 2021Article
- Balancing Collective Exploration and Exploitation in Multi-Agent and Multi-Robot Systems: A Review.Frontiers in robotics and AI · 2021Review
- Multi-scale analysis and modelling of collective migration in biological systems.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The ability of biological and artificial collectives to outperform solitary individuals in a wide variety of tasks depends crucially on the efficient processing of social and environmental information at the level of the collective. Here, we model collective behavior in complex environments with many potentially distracting cues. Counter-intuitively, large-scale coordination in such environments can be maximized by strongly limiting the cognitive capacity of individuals, where due to self-organized dynamics the collective self-isolates from disrupting information. We observe a fundamental trade-off between coordination and collective responsiveness to environmental cues. Our results offer important insights into possible evolutionary trade-offs in collective behavior in biology and suggests novel principles for design of artificial swarms exploiting attentional bottlenecks.
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