A Computational Framework for Multilevel Morphologies


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Sara Montagna, Mirko Viroli

Ren\'e Doursat, Hiroki Sayama, Olivier Michel (eds.)
“Morphogenetic Engineering”, pages 383-405
Understanding Complex Systems
Springer Berlin Heidelberg
2012

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

Publication

— authors

— editors

Ren\'e Doursat, Hiroki Sayama, Olivier Michel

— status

published

— sort

book chapter

— publication date

2012

— volume

Morphogenetic Engineering

— series

Understanding Complex Systems

— pages

383-405

URLs

original page

identifiers

— DOI

10.1007/978-3-642-33902-8_15

— print ISBN

978-3-642-33901-1

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