Artificial Gene Regulatory Networks and Spatial Computation: A Case Study

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.

Domaines

Intelligence artificielle [cs.AI]

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https://inria.hal.science/inria-00601816

Soumis le : lundi 20 juin 2011-16:17:02

Dernière modification le : lundi 12 février 2024-09:48:04

Dates et versions

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

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HAL Id : inria-00601816 , version 1

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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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