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Algorithmic requirements for swarm intelligence in differently coupled collective systems

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  • 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
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    References listed on IDEAS

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

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