ArticleScience advances2019
Optimal network topology for responsive collective behavior.
Article in Science advances, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
The trial behind it
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
11 citing papers in PubMed.
- Ontogeny of collective behaviour.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Review
- Transition from simple to complex contagion in collective decision-making.Nature communications · 2022Article
- Beyond Bio-Inspired Robotics: How Multi-Robot Systems Can Support Research on Collective Animal Behavior.Frontiers in robotics and AI · 2022Article
- Time-Optimal Velocity Tracking Control for Consensus Formation of Multiple Nonholonomic Mobile Robots.Sensors (Basel, Switzerland) · 2021Article
- Hive geometry shapes the recruitment rate of honeybee colonies.Journal of mathematical biology · 2021Article
- Balancing Collective Exploration and Exploitation in Multi-Agent and Multi-Robot Systems: A Review.Frontiers in robotics and AI · 2021Review
- Power-law scaling to assist with key challenges in artificial intelligence.Scientific reports · 2020Article
- Brain experiments imply adaptation mechanisms which outperform common AI learning algorithms.Scientific reports · 2020Article
- Leader-follower consensus on activity-driven networks.Proceedings. Mathematical, physical, and engineering sciences · 2020Article
- Behavioural plasticity and the transition to order in jackdaw flocks.Nature communications · 2019Article
- Integrated Robotic and Network Simulation Method.Sensors (Basel, Switzerland) · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Animals, humans, and multi-robot systems operate in dynamic environments, where the ability to respond to changing circumstances is paramount. An effective collective response requires suitable information transfer among agents and thus critically depends on the interaction network. To investigate the influence of the network topology on collective response, we consider an archetypal model of distributed decision-making and study the capacity of the system to follow a driving signal for varying topologies and system sizes. Experiments with a swarm of robots reveal a nontrivial relationship between frequency of the driving signal and optimal network topology. The emergent collective response to slow-changing perturbations increases with the degree of the interaction network, but the opposite is true for the response to fast-changing ones. These results have far-reaching implications for the design and understanding of distributed systems: a dynamic rewiring of the interaction network is essential to effective collective operations at different time scales.
Identifiers
What OpenQuestion 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 OpenQuestion graph.