Effective leadership and decision-making in animal groups on the move

By Iain D. Couzin, Jens Krause, Nigel R. Franks, Simon A. Levin. Nature, 2005

2,775 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Genetics, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/885434ab65d4c01bea5ac1d4f3d196044bc0ce71

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Citations in the corpus

Neural-Network-Based Adaptive Leader-Following Control for Multiagent Systems With Uncertainties (2010, background): “Date of publication July 1, 2010; date of current version August 6, 2010.”
Inferring individual rules from collective behavior (2010, neutral): “Equilibrium speed in the A/R/A model is then v0 1⁄4 aþ ωal γ ; [9]”
Collective cognition in animal groups. (2009, methodology): “In many cases, however, information is not distributed in this way and individuals differ with respect to informational status or motivation [25,26, 31 ].”
Stochastic Mean-Field Limit: Non-Lipschitz Forces & Swarming (2010, background): “This phenomena has attracted lots of attention in the scientific community, see [8, 14, 33, 37] and the references therein.”
Research Advance in Swarm Robotics (2013, background): “It was first observed in nature swarms by Couzin and his colleagues [124], who conducted a study on effective leadership and decision-making in animal groups and published their work in Nature.”
Social behaviour in sharks and rays: analysis, patterns and implications for conservation (2012, background): “For example, individuals may actively prefer to associate with conspecifics and orientate to their direction of locomotion (Couzin et al. 2005; Guttal and Couzin 2010).”
Self-Organized Shape and Frontal Density of Fish Schools (2008, background): “…that are close by, they align to others up to an intermediate distance and they are attracted to individuals further away (Huth & Wissel 1994; Couzin et al. 2002, 2005; Croft et al. 2003; Kunz & Hemelrijk 2003; Hemelrijk & Kunz 2005; for a recent review see Reynolds 1987; Reuter & Breckling…”
Ring patterns and their bifurcations in a nonlocal model of biological swarms (2015, background): “Mathematical models for swarming, schooling, and other aggregative behavior in biology have given us many tools to understand the fundamental behavior of collective motion and pattern formation that occurs in nature [10, 6, 2, 26, 25, 14, 7, 13, 27, 19, 33, 32, 23, 11, 17, 37, 38, 34, 36, 9, 15, 29,”
Distributed Finite-Time Average Consensus in Digraphs in the Presence of Time Delays (2015, background): “…the wide variety of applications and the potential to burgeon scientific advances in many different areas, ranging from computer science (e.g., parallel and distributed computation [3]), engineering (e.g., distributed optimization in sensor networks [4] and formation control of robotic networks…”
The principles of collective animal behaviour (2006, methodology): “Couzin et al. (2005) used an SPP model to show that the larger the group, the smaller the proportion of informed individuals required to lead it. This result relies on the fact that followers are subject to positive feedback.”