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» Evolving Fractal Gene Regulatory Networks for Robot Control
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ECAL
2003
Springer
13 years 9 months ago
Evolving Embodied Genetic Regulatory Network-Driven Control Systems
We demonstrate the evolution of simple embodied Genetic Regulatory Networks (GRNs) as real-time control systems for robotic and software-based embodied Artificial Organisms, and p...
Tom Quick, Chrystopher L. Nehaniv, Kerstin Dautenh...
GECCO
1999
Springer
130views Optimization» more  GECCO 1999»
13 years 8 months ago
Heterochrony and Adaptation in Developing Neural Networks
This paper discusses the simulation results of a model of biological development for neural networks based on a regulatory genome. The model’s results are analyzed using the fra...
Angelo Cangelosi
GECCO
2007
Springer
131views Optimization» more  GECCO 2007»
13 years 10 months ago
Using feedback to regulate gene expression in a developmental control architecture
We present what we believe is the first attempt to physically reconstruct the exploratory mechanism of genetic regulatory networks. Feedback plays a crucial role during developme...
Kester Clegg, Susan Stepney, Tim Clarke
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
13 years 10 months ago
A developmental genetics-inspired approach to robot control
The need to build modular, scalable, and complex technology capable of adaptation, self-assembly, and self-repair has fuelled renewed interest in using approaches inspired by deve...
Sanjeev Kumar