Spatial computing: from interaction to computation

Spatial computing is an emergent field of computer science
which explicitly identifies the importance of space in computation at the three levels of hardware, programming and software. In this presentation, we focus on an original programming paradigm inspired by the spatial structure induced by the dynamics of complex systems, namely the topology of interactions. The resulting interaction-based programming language called MGS is used in many areas (especially in integrative and synthetic biology) for the modeling of morphogenetic phenomena. Finally, we show that global/local relationships characteristic of complex systems can also be integrated into this framework by modeling them at different levels of
description.