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Conference Papers Year : 2011

Artificial Gene Regulatory Networks and Spatial Computation: A Case Study

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Abstract

This paper explores temporal and spatial dynamics of a population of Genetic Regulatory Networks (GRN). In order to so, a GRN model is spatially distributed to solve a multi-cellular Artificial Embryogeny problem, and Evolutionary Computation is used to optimize the developmental sequences. An in-depth analysis is provided and show that such a population of GRN display strong spatial synchronization as well as various kind of behavioral patterns, ranging from smooth diffusion to abrupt transition patterns.
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Dates and versions

inria-00601816 , version 1 (20-06-2011)

Identifiers

  • HAL Id : inria-00601816 , version 1

Cite

Sylvain Cussat-Blanc, Nicolas Bredeche, Hervé Luga, Yves Duthen, Marc Schoenauer. Artificial Gene Regulatory Networks and Spatial Computation: A Case Study. ECAL, Aug 2011, Paris, France. ⟨inria-00601816⟩
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