IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v44y2011i8p574-586.html
   My bibliography  Save this article

Emergence of coherent motion in aggregates of motile coupled maps

Author

Listed:
  • García Cantú Ros, A.
  • Antonopoulos, Ch.G.
  • Basios, V.

Abstract

In this paper we study the emergence of coherence in collective motion described by a system of interacting motiles endowed with an inner, adaptative, steering mechanism. By means of a nonlinear parametric coupling, the system elements are able to swing along the route to chaos. Thereby, each motile can display different types of behavior, i.e. from ordered to fully erratic motion, accordingly with its surrounding conditions. The appearance of patterns of collective motion is shown to be related to the emergence of interparticle synchronization and the degree of coherence of motion is quantified by means of a graph representation. The effects related to the density of particles and to interparticle distances are explored. It is shown that the higher degrees of coherence and group cohesion are attained when the system elements display a combination of ordered and chaotic behaviors, which emerges from a collective self-organization process.

Suggested Citation

  • García Cantú Ros, A. & Antonopoulos, Ch.G. & Basios, V., 2011. "Emergence of coherent motion in aggregates of motile coupled maps," Chaos, Solitons & Fractals, Elsevier, vol. 44(8), pages 574-586.
  • Handle: RePEc:eee:chsofr:v:44:y:2011:i:8:p:574-586
    DOI: 10.1016/j.chaos.2011.05.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960077911000683
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.chaos.2011.05.005?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. H. Chaté & F. Ginelli & G. Grégoire & F. Peruani & F. Raynaud, 2008. "Modeling collective motion: variations on the Vicsek model," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 64(3), pages 451-456, August.
    2. Erik M. Rauch & Mark M. Millonas & Dante R. Chialvo, 1995. "Pattern Formation and Functionality in Swarm Models," Working Papers 95-08-073, Santa Fe Institute.
    3. Nagy, Máté & Daruka, István & Vicsek, Tamás, 2007. "New aspects of the continuous phase transition in the scalar noise model (SNM) of collective motion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 373(C), pages 445-454.
    4. Ratushnaya, V.I. & Bedeaux, D. & Kulinskii, V.L. & Zvelindovsky, A.V., 2007. "Collective behavior of self-propelling particles with kinematic constraints: The relation between the discrete and the continuous description," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 381(C), pages 39-46.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li, Qing & Zhang, Lingwei & Jia, Yongnan & Lu, Tianzhao & Chen, Xiaojie, 2022. "Modeling, analysis, and optimization of three-dimensional restricted visual field metric-free swarms," Chaos, Solitons & Fractals, Elsevier, vol. 157(C).
    2. Andrea Cavagna & Antonio Culla & Xiao Feng & Irene Giardina & Tomas S. Grigera & Willow Kion-Crosby & Stefania Melillo & Giulia Pisegna & Lorena Postiglione & Pablo Villegas, 2022. "Marginal speed confinement resolves the conflict between correlation and control in collective behaviour," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    3. Can Guven & Erin Rericha & Edward Ott & Wolfgang Losert, 2013. "Modeling and Measuring Signal Relay in Noisy Directed Migration of Cell Groups," PLOS Computational Biology, Public Library of Science, vol. 9(5), pages 1-13, May.
    4. Yandong Xiao & Chuliang Song & Liang Tian & Yang-Yu Liu, 2019. "Accelerating The Emergence Of Order In Swarming Systems," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 23(01), pages 1-12, December.
    5. Hyun Jin Jang & Kiseop Lee & Kyungsub Lee, 2020. "Systemic risk in market microstructure of crude oil and gasoline futures prices: A Hawkes flocking model approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(2), pages 247-275, February.
    6. Czirók, András & Vicsek, Tamás, 2000. "Collective behavior of interacting self-propelled particles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 281(1), pages 17-29.
    7. Sharma, Mayank & Bhattacharyay, A., 2023. "Spontaneous collective transport in a heat-bath," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 626(C).
    8. Chepizhko, Oleksandr & Kulinskii, Vladimir, 2014. "The hydrodynamic description for the system of self-propelled particles: Ideal Viscek fluid," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 415(C), pages 493-502.
    9. Chen, Zhuo & Gao, Jianxi & Cai, Yunze & Xu, Xiaoming, 2011. "Evolution of cooperation among mobile agents," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(9), pages 1615-1622.
    10. Choi, So Eun & Jang, Hyun Jin & Lee, Kyungsub & Zheng, Harry, 2021. "Optimal market-Making strategies under synchronised order arrivals with deep neural networks," Journal of Economic Dynamics and Control, Elsevier, vol. 125(C).
    11. Chepizhko, A.A. & Kulinskii, V.L., 2010. "On the relation between Vicsek and Kuramoto models of spontaneous synchronization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(23), pages 5347-5352.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:chsofr:v:44:y:2011:i:8:p:574-586. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.