IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v50y2013icp100-114.html
   My bibliography  Save this article

Algorithmic requirements for swarm intelligence in differently coupled collective systems

Author

Listed:
  • Stradner, Jürgen
  • Thenius, Ronald
  • Zahadat, Payam
  • Hamann, Heiko
  • Crailsheim, Karl
  • Schmickl, Thomas

Abstract

Swarm systems are based on intermediate connectivity between individuals and dynamic neighborhoods. In natural swarms self-organizing principles bring their agents to that favorable level of connectivity. They serve as interesting sources of inspiration for control algorithms in swarm robotics on the one hand, and in modular robotics on the other hand. In this paper we demonstrate and compare a set of bio-inspired algorithms that are used to control the collective behavior of swarms and modular systems: BEECLUST, AHHS (hormone controllers), FGRN (fractal genetic regulatory networks), and VE (virtual embryogenesis). We demonstrate how such bio-inspired control paradigms bring their host systems to a level of intermediate connectivity, what delivers sufficient robustness to these systems for collective decentralized control. In parallel, these algorithms allow sufficient volatility of shared information within these systems to help preventing local optima and deadlock situations, this way keeping those systems flexible and adaptive in dynamic non-deterministic environments.

Suggested Citation

  • Stradner, Jürgen & Thenius, Ronald & Zahadat, Payam & Hamann, Heiko & Crailsheim, Karl & Schmickl, Thomas, 2013. "Algorithmic requirements for swarm intelligence in differently coupled collective systems," Chaos, Solitons & Fractals, Elsevier, vol. 50(C), pages 100-114.
    • Handle: RePEc:eee:chsofr:v:50:y:2013:i:c:p:100-114
    DOI: 10.1016/j.chaos.2013.01.011
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960077913000210
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.chaos.2013.01.011?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. P. Zahadat & S. D. Katebi, 2008. "Tartarus And Fractal Gene Regulatory Networks With Inputs," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 11(06), pages 803-829.
    2. Johannes Jaeger & Svetlana Surkova & Maxim Blagov & Hilde Janssens & David Kosman & Konstantin N. Kozlov & Manu & Ekaterina Myasnikova & Carlos E. Vanario-Alonso & Maria Samsonova & David H. Sharp & J, 2004. "Dynamic control of positional information in the early Drosophila embryo," Nature, Nature, vol. 430(6997), pages 368-371, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wasniewski, Krzysztof, 2020. "Energy efficiency as manifestation of collective intelligence in human societies," Energy, Elsevier, vol. 191(C).

    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. Kolja Becker & Eva Balsa-Canto & Damjan Cicin-Sain & Astrid Hoermann & Hilde Janssens & Julio R Banga & Johannes Jaeger, 2013. "Reverse-Engineering Post-Transcriptional Regulation of Gap Genes in Drosophila melanogaster," PLOS Computational Biology, Public Library of Science, vol. 9(10), pages 1-16, October.
    2. Ronald Thenius & Michael Bodi & Thomas Schmickl & Karl Crailsheim, 2013. "Novel method of virtual embryogenesis for structuring Artificial Neural Network controllers," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 19(4), pages 375-387.
    3. David M Holloway & Alexander V Spirov, 2017. "Transcriptional bursting in Drosophila development: Stochastic dynamics of eve stripe 2 expression," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-24, April.
    4. Debasish Mondal & Edward Dougherty & Abhishek Mukhopadhyay & Adria Carbo & Guang Yao & Jianhua Xing, 2014. "Systematic Reverse Engineering of Network Topologies: A Case Study of Resettable Bistable Cellular Responses," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-12, August.
    5. Carl Song & Hilary Phenix & Vida Abedi & Matthew Scott & Brian P Ingalls & Mads Kærn & Theodore J Perkins, 2010. "Estimating the Stochastic Bifurcation Structure of Cellular Networks," PLOS Computational Biology, Public Library of Science, vol. 6(3), pages 1-11, March.
    6. Maksat Ashyraliyev & Ken Siggens & Hilde Janssens & Joke Blom & Michael Akam & Johannes Jaeger, 2009. "Gene Circuit Analysis of the Terminal Gap Gene huckebein," PLOS Computational Biology, Public Library of Science, vol. 5(10), pages 1-16, October.
    7. Bernd Boehm & Henrik Westerberg & Gaja Lesnicar-Pucko & Sahdia Raja & Michael Rautschka & James Cotterell & Jim Swoger & James Sharpe, 2010. "The Role of Spatially Controlled Cell Proliferation in Limb Bud Morphogenesis," PLOS Biology, Public Library of Science, vol. 8(7), pages 1-21, July.
    8. Theodore J Perkins & Johannes Jaeger & John Reinitz & Leon Glass, 2006. "Reverse Engineering the Gap Gene Network of Drosophila melanogaster," PLOS Computational Biology, Public Library of Science, vol. 2(5), pages 1-12, May.
    9. Stefano Ciliberti & Olivier C Martin & Andreas Wagner, 2007. "Robustness Can Evolve Gradually in Complex Regulatory Gene Networks with Varying Topology," PLOS Computational Biology, Public Library of Science, vol. 3(2), pages 1-10, February.

    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:50:y:2013:i:c:p:100-114. 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.