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...
We present a new approach that is able to produce an increased fault tolerance in bio-inspired electronic circuits. To this end, we designed hardwarefriendly genetic regulatory net...
This paper develops an algorithm that extracts explanatory rules from microarray data, which we treat as time series, using genetic programming (GP) and fuzzy logic. Reverse polis...