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Discovery of Parameters for Animation of Midge Swarms

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Discovery Science (DS 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9356))

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Abstract

We describe a method of discovering suitable parameters for simulating and animating the swarming behaviour of non-biting midges (Diptera: Chironomidae). A characteristic of animal aggregations that can be emulated by software is the emergence of complex behaviours from simple rules. Here the well-characterized swarming behaviour of non-biting midges is used to create a rule-based behaviour model for them. To test the effectiveness of this model in creating the emergent qualities of real swarms, success criteria are derived from quantitative swarm data. We propose using a genetic algorithm to automate the identification of parameter settings that optimize the effectiveness of the model.

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Authors and Affiliations

  1. University of Regina, 3737 Wascana Pkwy, Regina, SK, Canada

    Judith Bjorndahl, Ashley Herman, Richard Hamilton, Howard J. Hamilton & Mark Brigham

Authors
  1. Judith Bjorndahl
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  2. Ashley Herman
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  3. Richard Hamilton
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  4. Howard J. Hamilton
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  5. Mark Brigham
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Corresponding author

Correspondence to Howard J. Hamilton .

Editor information

Editors and Affiliations

  1. University of Ottawa, Ottawa, Ontario, Canada

    Nathalie Japkowicz

  2. Faculty of Computer Science, Dalhousie University, HALIFAX, Nova Scotia, Canada

    Stan Matwin

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© 2015 Springer International Publishing Switzerland

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Bjorndahl, J., Herman, A., Hamilton, R., Hamilton, H.J., Brigham, M. (2015). Discovery of Parameters for Animation of Midge Swarms. In: Japkowicz, N., Matwin, S. (eds) Discovery Science. DS 2015. Lecture Notes in Computer Science(), vol 9356. Springer, Cham. https://doi.org/10.1007/978-3-319-24282-8_3

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  • DOI: https://doi.org/10.1007/978-3-319-24282-8_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24281-1

  • Online ISBN: 978-3-319-24282-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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