Sara Montagna, Mirko Viroli

The hierarchical organisation of biological systems plays a crucial role in the pattern formation of gene expression resulting from morphogenetic processes. Being able to reproduce the system's dynamics at the different levels of such a hierarchy might be very useful for designing engineered products that manifest spatial self-organising properties inspired by the development of living organisms. In this chapter we describe a computational framework capable of supporting through simulation the study of biological systems and the design of artificial systems that autonomously develop a spatial structure exploiting the potential of multi-level dynamics. With such a framework we propose a model for the morphogenesis of Drosophila melanogaster, demonstrating its capability of reproducing the expression pattern of the embryo. We then examine a scenario of pervasive computing as an application of this framework in the realisation of engineered products.

(keywords) MS-BioNET
Morphogenetic Engineering, Understanding Complex Systems, pages 383-405, 2012.
Ren\'e Doursat, Hiroki Sayama, Olivier Michel (eds.), Springer Berlin Heidelberg
      booktitle={Morphogenetic Engineering},
      series={Understanding Complex Systems},
      editor={Doursat, Ren\'e and Sayama, Hiroki and Michel, Olivier},
      title={A Computational Framework for Multilevel Morphologies},
      publisher={Springer Berlin Heidelberg},
      author={Montagna, Sara and Viroli, Mirko},



A Computational Framework for Multilevel Morphologies

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Sara Montagna, Mirko Viroli

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Ren\'e Doursat, Hiroki Sayama, Olivier Michel

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