Publisher's Note: Optimal view angle in collective dynamics of self-propelled agents [Phys. Rev. E<b>79</b>, 052102 (2009)]

Tian, Bao-Mei; Yang, Han-Xin; Li, Wei; Wang, Wen-Xu; Wang, Bing–Hong; Zhou, Tao

doi:10.1103/physreve.79.069901

Cited by 9 publications

(9 citation statements)

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“…In other words, the optimal sensing angle is associated with a system whose order is more robust to the introduction of active noise. This is similar to the results reported in [19] for the two-dimensional Vicsek model, except they defined optimality based on how fast polarization reaches to 1 when there is no noise in the model. For small values of active noise magnitude, e.g.…”

Section: Simulationssupporting

confidence: 86%

“…The authors find that the phase transition is of the first order when sensing angle is varied, while it is of the second order when the radius of the circular neighborhood around the particle is varied. In [19], the two-dimensional deterministic Vicsek-like model with angle restriction is considered and an optimal angle is found which leads to the fastest alignment of particles. The three-dimensional version of this problem is also considered in [20], however the final results are hard to interpret since the equations may be written in two rather than three dimensions.…”

Section: Introductionmentioning

confidence: 99%

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Collective behavior in groups of self-propelled particles with active and passive sensing inspired by animal echolocation

Shirazi

Abaid

2018

Phys. Rev. E

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Collective behavior is observed in many physical and biological systems and has been studied through agent-based models, including the Vicsek model which enforces aligned motion among agents. The behaviors produced by these models are highly dependent on the type of sensing individuals use. In nature, bats successfully use a complex form of sensing, namely, active echolocation in a relatively narrow beam and passive eavesdropping on their conspecifics' sound over a wider volume. Inspired by this system, we investigate whether augmenting an active sensing mechanism with passive sensing can improve the collective behavior of the group. A three-dimensional Vicsek-type model is presented to study the effects of combining active and passive sensing on collective behavior of a group of particles in the presence of noise. Phase transition is observed in both the presence and absence of passive sensing, yet the range of parameters for which ordered and disordered group states exist dramatically changes when passive sensing is implemented. Notably, we find numerous cases of the model for which the implementation of passive sensing increases the robustness of the collective behavior to noise.

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Section: Simulationssupporting

confidence: 86%

Section: Introductionmentioning

confidence: 99%

Collective behavior in groups of self-propelled particles with active and passive sensing inspired by animal echolocation

Shirazi

Abaid

2018

Phys. Rev. E

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“…Angular restriction on the reorientation of an individual agent within a flock alone can facilitate ordering [55] and can also affect the thermodynamic character of the order-disorder transition occuring within the flocks [56]. It was also observed that angular restriction on interaction neighborhood in Vicsek model can reduce time required to reach ordered state from a disordered state [57]. Recently it has also been shown that vision-cone can induce complex, selfassembled structures within the flock of self-propelling, memory-less agents, communicating among themselves by position-based, attractive interactions [58].…”

Section: Introductionmentioning

confidence: 99%

Active particle condensation by non-reciprocal and time-delayed interactions

2018

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We consider the flocking of self-propelling agents in two dimensions, each of which communicates with its neighbors within a limited vision-cone. Also, the communication occurs with some time-delay. The communication among the agents are modeled by Vicsek rules. In this study we explore the combined effect of non-reciprocal interaction (induced by limited vision-cone) among the agents and the presence of delay in the interactions on the dynamical pattern formation within the flock. We find that under these two influences, without any position-based attractive interactions or confining boundaries, the agents can spontaneously condense into "drops". Though the agents are in motion within the drop, the drop as a whole is pinned in space. We find that this novel state of the flock has a well-defined order and it is stabilized by the noise present in the system.

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“…The statistical properties of the Vicsek model in various implementations, the pattern formation and the type of order-disorder transition have been extensively studied by the community [19][20][21][22][23][24]. The model was further developed by Couzin et al [25] and later was enriched with biologically relevant features, including new types of behavioural interaction, which allowed one to reproduce several types of swarming dynamics [21,26].…”

Section: Introductionmentioning

confidence: 99%

Statistical properties of swarms of self-propelled particles with repulsions across the order-disorder transition

Romenskyy

Lobaskin

2013

Eur. Phys. J. B

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We study dynamic self-organisation and order-disorder transitions in a two-dimensional system of self-propelled particles. Our model is a variation of the Vicsek model, where particles align the motion to their neighbours but repel each other at short distances. We use computer simulations to measure the orientational order parameter for particle velocities as a function of intensity of internal noise or particle density. We show that in addition to the transition to an ordered state on increasing the particle density, as reported previously, there exists a transition into a disordered phase at the higher densities, which can be attributed to the destructive action of the repulsions. We demonstrate that the transition into the ordered phase is accompanied by the onset of algebraic behaviour of the two-point velocity correlation function and by a non-monotonous variation of the velocity relaxation time. The critical exponent for the decay of the velocity correlation function in the ordered phase depends on particle concentration at low densities but assumes a universal value in more dense systems.

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Publisher's Note: Optimal view angle in collective dynamics of self-propelled agents [Phys. Rev. E79, 052102 (2009)]

Cited by 9 publications

References 0 publications

Collective behavior in groups of self-propelled particles with active and passive sensing inspired by animal echolocation

Collective behavior in groups of self-propelled particles with active and passive sensing inspired by animal echolocation

Active particle condensation by non-reciprocal and time-delayed interactions

Statistical properties of swarms of self-propelled particles with repulsions across the order-disorder transition

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