W. Banzhaf, Artificial regulatory networks and genetic programming. Genetic Programming Theory and Practice, pp.43-62, 2003.
DOI : 10.1007/978-1-4419-8983-3_4

C. Bowers, Simulating evolution with a computational model of embryogeny: Obtaining robustness from evolved individuals. Lecture notes in computer science, p.149, 2005.

A. Chavoya and Y. Duthen, A cell pattern generation model based on an extended artificial regulatory network, Biosystems, vol.94, issue.1-2, pp.95-101, 2008.
DOI : 10.1016/j.biosystems.2008.05.015

S. Cussat-blanc, J. Pascalie, H. Luga, and Y. Duthen, Morphogen positioning by the means of a hydrodynamic engine, In Artificial Life XII, pp.118-125, 2010.

S. Cussat-blanc, H. Luga, and Y. Duthen, From single cell to simple creature morphology and metabolism, In Artificial Life XI, pp.134-141, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00694989

S. Cussat-blanc, J. Pascalie, H. Luga, and Y. Duthen, Three simulators for growing artificial creatures, IEEE Congress on Evolutionary Computation, 2010.
DOI : 10.1109/CEC.2010.5586112

E. H. Davidson, The regulatory genome: gene regulatory networks in development and evolution, 2006.

A. Devert, Building processes optimization: Toward an artificial ontologeny based approach, 2009.

R. Doursat, Organically Grown Architectures: Creating Decentralized, Autonomous Systems by Embryomorphic Engineering, Organic Computing, pp.167-200, 2008.
DOI : 10.1007/978-3-540-77657-4_8

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

P. Eggenberger, Evolving morphologies of simulated 3d organisms based on differential gene expression, Proceedings of the Fourth European Conference on Artificial Life, pp.205-213, 1997.

H. Jaeger, The echo state approach to analysing and training recurrent neural networks, 2001.

N. Jakobi, Harnessing morphogenesis, International Conference on Information Processing in Cells and Tissues, 1995.
DOI : 10.1016/B978-012428765-5/50054-2

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

M. Joachimczak and B. Wróbel, Evo-devo in silico: a model of a gene network regulating multicellular development in 3d space with artificial physics, Proceedings of the 11th International Conference on Artificial Life, pp.297-304, 2008.

M. Joachimczak and B. Wróbel, Evolving Gene Regulatory Networks for Real Time Control of Foraging Behaviours, Proceedings of the 12th International Conference on Artificial Life, 2010.

J. Knabe, M. Schilstra, and C. Nehaniv, Evolution and morphogenesis of differentiated multicellular organisms: autonomously generated diffusion gradients for positional information, Artificial Life XI, vol.11, p.321, 2008.

A. Lindenmayer, Developmental systems without cellular interactions, their languages and grammars, Journal of Theoretical Biology, vol.30, issue.3, p.455, 1971.
DOI : 10.1016/0022-5193(71)90002-6

J. Miller, Evolving Developmental Programs for Adaptation, Morphogenesis, and Self-Repair, Advances in Artificial Life, pp.256-265, 2003.
DOI : 10.1007/978-3-540-39432-7_28

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

E. Mjolsness, D. Sharp, R. , and J. , A connectionist model of development, Journal of Theoretical Biology, vol.152, issue.4, pp.429-453, 1991.
DOI : 10.1016/S0022-5193(05)80391-1

M. Nicolau, M. Schoenauer, and W. Banzhaf, Evolving Genes to Balance a Pole, Genetic Programming, pp.196-207, 2010.
DOI : 10.1007/978-3-642-12148-7_17

URL : https://hal.archives-ouvertes.fr/inria-00483681

I. Rechenberg, Evolution strategy. Computational Intelligence: Imitating Life, pp.147-159, 1994.

T. Reil, Dynamics of Gene Expression in an Artificial Genome ??? Implications for Biological and Artificial Ontogeny, Advances in Artificial Life, pp.457-466, 1999.
DOI : 10.1007/3-540-48304-7_63

L. Schramm, V. Valente-martins, Y. Jin, and B. Sendhoff, Analysis of Gene Regulatory Network Motifs in Evolutionary Development of Multicellular Organisms, Proceedings of the 12th International Conference on Artificial Life, 2010.

K. Stanley, Efficient evolution of neural networks through complexification, 2004.

R. Thomas, D. Thieffry, and M. Kaufman, Dynamical behaviour of biological regulatory networks???I. Biological role of feedback loops and practical use of the concept of the loop-characteristic state, Bulletin of Mathematical Biology, vol.29, issue.2, pp.247-276, 1995.
DOI : 10.1007/BF02460618

L. Wolpert, The french flag problem: A contribution to the discussion on pattern development and regulation . Towards a theoretical biology, pp.125-133, 1968.