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Modelling and simulation of self-organised behaviour in biological and bio-inspired systems

  • Meyer, Bernd (Primary Chief Investigator (PCI))
  • Hughes, Barry (Chief Investigator (CI))
  • Nakagaki, Toshiyuki (Partner Investigator (PI))

    Project: Research

    Project Details

    Project Description

    From molecular pathways to social groups, self-organisation is widely used in nature for flexible adaptive
    control. It also has many engineering applications from nano-technology to telecommunications and robotics.
    Yet, our understanding of how macro-level characteristics emerge from micro-level properties is very limited,
    partly because no general modelling methods are available. We will develop stochastic modelling methods
    and high-performance simulation techniques to bridge between micro and macro level. This will give
    researchers in biology and a range of other disciplines powerful tools to explain and analyse complex selforganised
    behaviour, and it will significantly increase our capacity to engineer reliable bio-inspired systems.
    StatusFinished
    Effective start/end date4/01/11 → 1/07/14

    Funding

    • ARC - Australian Research Council: A$255,000.00
    • Monash University
    View all 4 research outputs