Foraging at the Edge of Chaos: Internal Clock versus External Forcing

Nicolis, Stamatios C.; Fernández, J. P.; Pérez-Penichet, Carlos; Noda, Claro; Tejera, Frank; Ramos, Osvanny; Sumpter, David J. T.; Altshuler, E.

doi:10.1103/physrevlett.110.268104

Cited by 22 publications

(18 citation statements)

References 27 publications

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“…, the high frequency regime is valid when n 0.5 Hz  . The dependence of the average particle velocity, v , on the driving velocity, z F DC , according to equation (7) is shown schematically in figure 1(a). Equation (7) describes mean particle velocity 'above' and 'below' critical points, with two critical points found for every absolute value of r, in contrast to the DC only case, which has only a single F C .…”

Section: The 'High Frequency' Theorymentioning

confidence: 99%

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Dynamic mode locking in a driven colloidal system: experiments and theory

et al. 2017

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In this article we examine the dynamics of a colloidal particle driven by a modulated force over a sinusoidal optical potential energy landscape. Coupling between the competing frequencies of the modulated drive and that of particle motion over the periodic landscape leads to synchronisation of particle motion into discrete modes. This synchronisation manifests as steps in the average particle velocity, with mode locked steps covering a range of average driving velocities. The amplitude and frequency dependence of the steps are considered, and compared to results from analytic theory, Langevin dynamics simulations, and dynamic density functional theory. Furthermore, the critical driving velocity is studied, and simulation used to extend the range of conditions accessible in experiments alone. Finally, state diagrams from experiment, simulation, and theory are used to show the extent of the dynamically locked modes in two dimensions, as a function of both the amplitude and frequency of the modulated drive.

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Section: The 'High Frequency' Theorymentioning

confidence: 99%

“…The two critical points F CRIT at the ends of resonant step r are found by determining F DC at the condition where the two different solutions in equation (7) coincide,…”

Section: The 'High Frequency' Theorymentioning

confidence: 99%

Dynamic mode locking in a driven colloidal system: experiments and theory

et al. 2017

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“…However, temporal autocorrelation in flight activity means that a colony tends to maintain its activity level on the short term regardless the intensity of environmental changes. This dynamical pattern subject to behavioural inertia is analogous to the ''wakingup'' and ''winding down'' dynamics of collective activities whereby the activity increasing phase is steeper than the activity slow-down phase (Nicolis et al 2013). This asymmetrical activity dynamics is typical of collective activity triggered by an external factor (e.g., de Biseau et al 1991;Nicolis et al 2013).…”

Section: Optimal Foraging Vs Behavioural Inertia In Flight Activitymentioning

confidence: 55%

“…This dynamical pattern subject to behavioural inertia is analogous to the ''wakingup'' and ''winding down'' dynamics of collective activities whereby the activity increasing phase is steeper than the activity slow-down phase (Nicolis et al 2013). This asymmetrical activity dynamics is typical of collective activity triggered by an external factor (e.g., de Biseau et al 1991;Nicolis et al 2013). We further suspect that the relative preponderance of optimal foraging over behavioural inertia in determining current flight activity will increase as time lapses after an environmental change (colony translocation in the present study).…”

Section: Optimal Foraging Vs Behavioural Inertia In Flight Activitymentioning

confidence: 99%

Analytic partitioning of honeybee (Apis mellifera L.) flight activity at nest entrance: adaptation and behavioural inertia in a changing environment

Rodet

Henry

2014

Ecological Research

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Ecology of bees (Hymenoptera, Apiformes) is entirely constrained by the centralized exchange between the nest and its environment. Herein, we investigate the ecological meaning of the flight activity of honeybees (Apis mellifera L.) at the entrance of the nest, and assessed whether this simple metric can be used as a proxy to infer on the colony state (population size and foraging activity). Theory predicts that flight activity of a colony should increase (1) with population size (densitydependence hypothesis), (2) with floral resource availability (optimal foraging hypothesis), and (3) with the flight activity during previous hours or days, due to a temporal autocorrelation (behavioural inertia hypothesis). We built and compared series of explanatory models for the flight activity measured at the entrance of hives, and its two visible components, namely bees with and without pollen loads. Data were collected on 26 honeybee colonies, both before and after a translocation into a new environment with controlled floral resource availability in order to distinguish among the respective contributions of explanatory factors. Current flight activity was consistently and positively influenced by previous flight activity as well as by the current resource availability. To our knowledge, this represents the first characterization of behavioural inertia in the context of a collective behaviour. Population size only influenced flight activity of bees without pollen loads. We discuss the limits of using simple counts of flying bees at the hive entrance to infer the colony state.

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“…The sensitivity to others' choice can be represented as the social influence parameter s. As suggested by Ref. [29], we formulate the probability of joining an attraction P a by the analogy with sigmoidal choice rule [33,34,38],…”

Section: Joining Behaviormentioning

confidence: 99%

Jamming transitions induced by an attraction in pedestrian flow

Kwak

Luttinen

et al. 2017

Phys. Rev. E

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We numerically study jamming transitions in pedestrian flow interacting with an attraction, mostly based on the social force model for pedestrians who can join the attraction. We formulate the joining probability as a function of social influence from others, reflecting that individual choice behavior is likely influenced by others. By controlling pedestrian influx and the social influence parameter, we identify various pedestrian flow patterns. For the bidirectional flow scenario, we observe a transition from the free flow phase to the freezing phase, in which oppositely walking pedestrians reach a complete stop and block each other. On the other hand, a different transition behavior appears in the unidirectional flow scenario, i.e., from the free flow phase to the localized jam phase and then to the extended jam phase. It is also observed that the extended jam phase can end up in freezing phenomena with a certain probability when pedestrian flux is high with strong social influence. This study highlights that attractive interactions between pedestrians and an attraction can trigger jamming transitions by increasing the number of conflicts among pedestrians near the attraction. In order to avoid excessive pedestrian jams, we suggest suppressing the number of conflicts under a certain level by moderating pedestrian influx especially when the social influence is strong.

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Foraging at the Edge of Chaos: Internal Clock versus External Forcing

Cited by 22 publications

References 27 publications

Dynamic mode locking in a driven colloidal system: experiments and theory

Dynamic mode locking in a driven colloidal system: experiments and theory

Analytic partitioning of honeybee (Apis mellifera L.) flight activity at nest entrance: adaptation and behavioural inertia in a changing environment

Jamming transitions induced by an attraction in pedestrian flow

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