Genetic Networks and Soft Computing
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Patterns in complex systems modeling
IDEAL'05 Proceedings of the 6th international conference on Intelligent Data Engineering and Automated Learning
METAMorph: experimenting with genetic regulatory networks for artificial development
ECAL'05 Proceedings of the 8th European conference on Advances in Artificial Life
CelloS: a multi-level approach to evolutionary dynamics
ECAL'05 Proceedings of the 8th European conference on Advances in Artificial Life
Effects of spatial growth on gene expression dynamics and on regulatory network reconstruction
ECAL'05 Proceedings of the 8th European conference on Advances in Artificial Life
Dynamics of content-based networks
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
Designing a morphogenetic system for evolvable hardware
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
A cell-based developmental model to generate robot morphologies
Proceedings of the 14th annual conference on Genetic and evolutionary computation
The Regulatory Network Computational Device
Genetic Programming and Evolvable Machines
Annals of Mathematics and Artificial Intelligence
Genetic programming with genetic regulatory networks: genetic programming
Proceedings of the 15th annual conference on Genetic and evolutionary computation
GEARNet: grammatical evolution with artificial regulatory networks
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Natural Computing: an international journal
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An artificial genome with biologically plausible properties was developed and the dynamics of gene expression were studied. The model differs from previous approaches, such as Random Boolean Nets [1], in that it is entirely based on template matching in a nucleotide-like sequence. Genes activate or inhibit other genes by binding to their regulatory sequences. The results of the experiments suggest that many features of real-life development, such as cyclic gene activity, differentiation into multiple cell types, and robusteness may be inherent properties of a template-matching system rather than necessarily designed from scratch by Natural Selection. Moreover, the system may provide a new hypothesis about the role of junk DNA in real genomes. In addition to these biological implications, the approach used here is thought to provide a flexible basis for future simulations of morphogenesis.