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}
}
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