We introduce a genetic programming (GP) approach for evolving genetic networks that demonstrate desired dynamics when simulated as a discrete stochastic process. Our representation...
— Recently there has been significant interest in evolving genetic regulatory networks with a user-determined behaviour. It is unclear whether or not artificial evolution of bi...
We analyse a suite of Boolean networks which have been evolved to exhibit limit cycle-type dynamics in terms of the distribution of small network motifs and feedback loops. We find...
Boolean models of genetic regulatory networks (GRNs) have been shown to exhibit many of the characteristic dynamics of real GRNs, with gene expression patterns settling to point a...
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...