Refining self-propelled particle models for collective behaviour
C.A. Yates, R. Baker, R. Erban and P.K. Maini (2011). "Refining self-propelled particle models for collective behaviour" Canadian Journal of Applied Mathematics (CAMQ). In publication
Swarming, schooling, flocking and herding are all names given to the wide variety of collective behaviours exhibited... more Swarming, schooling, flocking and herding are all names given to the wide variety of collective behaviours exhibited by groups of animals, bacteria and even individual cells. More generally, the term swarming describes the behaviour of an aggregate of agents (not necessarily biological) of similar size and shape which exhibit some emergent property such as directed migration or group cohesion. In this paper we review various individual-based models of collective behaviour and discuss their merits and drawbacks. We further analyse some one-dimensional models in the context of locust swarming. In specific models, in both one and two dimensions, we demonstrate how varying parameters relating to how much attention individuals pay to their neighbours can dramatically change the behaviour of the group. We also introduce leader individuals to these models. Leader individuals have the ability to guide the swarm to a greater or lesser degree as we vary the parameters of the model. Finally, we consider evolutionary scenarios for models with leaders in which individuals are allowed to evolve the degree of influence neighbouring individuals have on their subsequent motion.
Inherent noise can facilitate coherence in collective swarm motion
C.A. Yates, R. Erban, C. Escudero, I. Couzin, J. Buhl, I. Kevrekidis, P. Maini and D. Sumpter, (2009). "Inherent noise can facilitate coherence in collective swarm motion". Proceedings of the National Academy of Sciences (PNAS) 106(14) 5464-5469.
Supporting information can be found here: http://people.maths.ox.ac.uk/~yatesc/inherentnoisesupportinginformatio
Among the most striking aspects of the movement of many animal
groups are their sudden coherent changes in... more
Among the most striking aspects of the movement of many animal
groups are their sudden coherent changes in direction. Recent
observations of locusts and starlings have shown that this directional
switching is an intrinsic property of their motion. Similar
direction switches are seen in self-propelled particle and other
models of group motion. Comprehending the factors that determine
such switches is key to understanding the movement of these
groups. Here, we adopt a coarse-grained approach to the study of
directional switching in a self-propelled particle model assuming an
underlying one-dimensional Fokker–Planck equation for the mean
velocity of the particles. We continue with this assumption in analyzing
experimental data on locusts and use a similar systematic
Fokker–Planck equation coefficient estimation approach to extract
the relevant information for the assumed Fokker–Planck equation
underlying that experimental data. In the experiment itself the
motion of groups of 5 to 100 locust nymphs was investigated in
a homogeneous laboratory environment, helping us to establish
the intrinsic dynamics of locust marching bands. We determine
the mean time between direction switches as a function of group
density for the experimental data and the self-propelled particle
model. This systematic approach allows us to identify key differences
between the experimental data and the model, revealing
that individual locusts appear to increase the randomness of their
movements in response to a loss of alignment by the group. We
give a quantitative description of how locusts use noise to maintain
swarm alignment. We discuss further how properties of individual
animal behavior, inferred by using the Fokker–Planck equation
coefficient estimation approach, can be implemented in the selfpropelled
particle model to replicate qualitatively the group level
dynamics seen in the experimental data.
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Seen by:Ergodic directional switching in mobile insect groups
C. Escudero, C.A. Yates, J. Buhl, I.D. Couzin, R. Erban, I.G. Kevrekidis (2010). "Ergodic directional switching in mobile insect groups". Physical Review E 82(1) 11926.
We obtain a Fokker-Planck equation describing experimental data on the collective motion of locusts. The noise is of... more We obtain a Fokker-Planck equation describing experimental data on the collective motion of locusts. The noise is of internal origin and due to the discrete character and finite number of constituents of the swarm. The stationary probability distribution shows a rich phenomenology including non-monotonic behavior of several order and disorder transition indicators in noise intensity. This complex behavior arises naturally as a result of the randomness in the system. Its counterintuitive character challenges standard interpretations of noise induced transitions and calls for an extension of this theory in order to capture the behavior of certain classes of biologically motivated models. Our results suggest that the collective switches of the group’s direction of motion might be due to a random ergodic effect and, as such, they are inherent to group formation.