Novel visualisation and analysis of natural and complex systems using systemic computation

  • Authors:

  • Erwan Le Martelot;Peter J. Bentley

  • Affiliations:

  • Electrical and Engineering Department, University College London, London, UK;Computer Science Department, University College London, London, UK

  • Venue:
  • Information Visualization
  • Year:
  • 2011

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Abstract

The study, analysis and understanding of natural processes are difficult tasks considering the complex nature of such processes. In this respect, the visual analysis of such systems can be of great help in the understanding of their behaviour. The increasing power of modern computers enables novel possible uses of computer graphics for such tasks. Previous work introduced systemic computation, a new model of computation and corresponding computer architecture aiming at enabling a clear formalism of natural and complex systems and providing tools for their analysis. Here, we present an online visualisation of dynamic systems based on this novel paradigm. The observation is done at a high level of abstraction, focussing on information flow, interactions and emergent behaviour, and enabling the identification of similarities and differences between models of complex systems. This visualisation framework is then applied to two biological networks: a bistable gene network and a MAPK signalling cascade.