A Taxonomy for artificial embryogeny
Artificial Life
Evolution of robustness in digital organisms
Artificial Life
EH '05 Proceedings of the 2005 NASA/DoD Conference on Evolvable Hardware
2005 Special Issue: A regenerating spiking neural network
Neural Networks - 2005 Special issue: IJCNN 2005
Evolving modular genetic regulatory networks
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Why are evolved developing organisms also fault-tolerant?
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
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Inspired upon the development of living systems, many models of artificial embryogeny are being proposed. These are usually aimed at the solution of some know limitations of evolutionary computation; among these scalability, flexibility and, more recently, fault-tolerance. This paper focuses on the latter, proposing an explanation of the intrinsic regenerative capabilities displayed by some models of multi-cellular development. Supported by the evidence collected from simulations, regeneration is shown to emerge as evolution converges to more regular regions of the genotype space. The conclusion is that intrinsic fault-tolerance emerges as evolution increases the evolvability of the development process.