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European Conference on Artificial Life

ECAL 2003: Advances in Artificial Life pp 810–820Cite as

Multi-agent Model of Biological Swarming

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2801))

Abstract

An agent-based approach is used to explain the formation of vortex swarms in biological systems. The dynamics of the multiagent system is described by 3N coupled equations, modeling for each agent its position, its velocity and its internal energy depot. The energy depot considers the conditions for active biological motion, such as energy take-up, metabolism, and energy conversion. The equation of motion results from a superposition of deterministic and stochastic terms (random noise). The deterministic part considers indirect interactions with other agents to describe local avoidance behavior, and external influences resulting from an attractive environmental potential. Stochastic computer simulations of the multi-agent system are shown in very good agreement with the behavior observed in Daphnia swarms.

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Author information

Authors and Affiliations

  1. Schloss Birlinghoven, Fraunhofer Institute for Autonomous Intelligent Systems, D-53757, Sankt Augustin, Germany

    Robert Mach & Frank Schweitzer

  2. Institute for Theoretical Physics, Cologne University, D-50923, Koeln, Germany

    Robert Mach

  3. Institute of Physics, Humboldt University Berlin, D-10099, Berlin, Germany

    Frank Schweitzer

Authors
  1. Robert Mach
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  2. Frank Schweitzer
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Memorial University of Newfoundland, Canada

    Wolfgang Banzhaf

  2. Department of Computer Science, University of Dortmund, 11, Joseph-von-Fraunhofer-Str. 20, 44227, Dortmund, Germany

    Jens Ziegler

  3. Fraunhofer IAIS, Sankt Augustin

    Thomas Christaller

  4. Bio Systems Analysis Group, Jena Centre for Bioinformatics and Friedrich Schiller University Jena, Ernst-Abbe-Platz 1–4, D-07743, Jena, Germany

    Peter Dittrich

  5. School of Computing Sciences, University of East Anglia, NR4 7TJ, Norwich, United Kingdom

    Jan T. Kim

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© 2003 Springer-Verlag Berlin Heidelberg

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Mach, R., Schweitzer, F. (2003). Multi-agent Model of Biological Swarming. In: Banzhaf, W., Ziegler, J., Christaller, T., Dittrich, P., Kim, J.T. (eds) Advances in Artificial Life. ECAL 2003. Lecture Notes in Computer Science(), vol 2801. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39432-7_87

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  • DOI: https://doi.org/10.1007/978-3-540-39432-7_87

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20057-4

  • Online ISBN: 978-3-540-39432-7

  • eBook Packages: Springer Book Archive

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