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A Computational Framework for Multilevel Morphologies

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
@incollection{montagna-morphoeng,
      year={2012},
      isbn={978-3-642-33901-1}, 
      booktitle={Morphogenetic Engineering},
      series={Understanding Complex Systems}, 
      editor={Doursat, Ren\'e and Sayama, Hiroki and Michel, Olivier},
      doi={10.1007/978-3-642-33902-8_15},
      title={A Computational Framework for Multilevel Morphologies},
      url={http://dx.doi.org/10.1007/978-3-642-33902-8_15},
      publisher={Springer Berlin Heidelberg},
      author={Montagna, Sara and Viroli, Mirko},
      pages={383--405},
      language={English}
}