Collective motion

@inproceedings{Vicsek2010CollectiveM,
  title={Collective motion},
  author={Tam{\'a}s Vicsek and Anna Zafeiris},
  year={2010}
}
On thermodynamic efficiency of collective computation
Self-organisation of coherent motion in systems of self-propelled particles (e.g., flocks, swarms, active matter) is a pervasive phenomenon observed in many biological, chemical and physical settings
Collective motion patterns of self-propelled agents with both velocity alignment and aggregation interactions.
TLDR
Under a weak external noise environment, the transition from disordered to ordered state by increasing k (i.e., by decreasing the proportion of aggregation interaction) is found to be of first order and the existence of the optimal proportion of the aggregation interaction for the system to achieve the highest degree of order is found.
Inferring the size of a collective of self-propelled Vicsek particles from the random motion of a single unit
Inferring the size of a collective from the motion of a few accessible units is a fundamental problem in network science and interdisciplinary physics. Here, we recognize stochasticity as the
QUATERNIONS IN COLLECTIVE DYNAMICS \ast
We introduce a model of multiagent dynamics for self-organized motion; individuals travel at a constant speed while trying to adopt the averaged body attitude of their neighbors. The body attitudes
Quaternions in Collective Dynamics
TLDR
This work introduces a model of multiagent dynamics for self-organized motion; individuals travel at a constant speed while trying to adopt the averaged body attitude of their neighbors, based on nematic (rather than polar) alignment.
Gliding filament system giving both global orientational order and clusters in collective motion.
TLDR
It is demonstrated that not only alignment but also crossing of two filaments is essential to produce an effective multiple-particle interaction and the global order and the chiral symmetry breaking of a microtubule motion which causes a rotation of global alignment is described.
TOPOLOGICAL INTERACTIONS FOR COLLECTIVE DYNAMICS: A STUDY OF A (NOT SO) SIMPLE MODEL
The mechanism of self-organization resulting in coordinated collective motion has received wide attention, in particular because collective behavior emerging out of selforganization is one of the
Heterogeneous populations in a network model of collective motion
Minimal stochastic field equations for one-dimensional flocking
We consider the collective behaviour of active particles that locally align with their neighbours. Agent-based simulation models have previously shown that in one dimension, these particles can form
Emergent states in active fluids: From bulk to confinement
This work is about emergent states in active fluids, meaning fluids consisting of self-propelled units. The collective behavior of such units with spherical and rodlike shape is investigated in bulk
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References

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TLDR
An experimental setup of very simple self-propelled robots to observe collective motion emerging as a result of inelastic collisions only was developed and it was demonstrated that jamming, clustering, disordered and ordered motion are all present and that the noise level has a fundamental role in the generation of collective dynamics.
Polar patterns of driven filaments
TLDR
A minimal polar-pattern-forming system that consists of highly concentrated actin filaments propelled by immobilized molecular motors in a planar geometry is demonstrated, identifying weak and local alignment interactions to be essential for the observed formation of patterns and their dynamics.
Collective motion and density fluctuations in bacterial colonies
TLDR
This work reports simultaneous measurements of the positions, velocities, and orientations as a function of time for up to a thousand wild-type Bacillus subtilis bacteria in a colony, demonstrating that bacteria are an excellent system to study the general phenomenon of collective motion.
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TLDR
A three-dimensional, generalized version of the original self-propelled-particles (SPP) model for collective motion is considered and it is shown that the critical value of the strategy variable could correspond to an evolutionary optimum in the sense that the information exchange between the units of the system is maximal in this point.
Hydrodynamics and phases of flocks
Collective motion in a system of motile elements.
TLDR
A mathematical model of cluster motion seen in nature, including collective rotation, chaos, wandering, occur in computer simulations of this deterministic model by introducing a set dimensionless parameters.
Moving and staying together without a leader
Collective motion from local attraction.
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TLDR
This book provides a summary of the majority of recent approaches and concepts born in the study of biological phenomena involving collective behaviour and random perturbation, as well as presenting some of the most important new results to specialist researchers.
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