00991nas a2200109   4500000000100000008004100001100001600042245009000058300001400148490000800162520071100170       2014                            d1 aArtur Rataj00aEvolvability by Mimicking Common Properties of a Nervous System and Computer Software  a253–2780 v1313 aWe study, on the basis of a simple neural-network like system that we call a spatial network, how several properties of two evolvable systems: a nervous system and computer software, could influence on the evolvability of a genetic algorithm. The following properties are modelled: hierarchical modularity, mirroring, extensive variability and quantitative genetic traits. By mirroring we understand mimicking of the structure of processed data by the structure of the processing algorithm. We estimate the evolvability of several examples of the presented networks, which perform simple image processing tasks, like stereo-to depth. The evaluation is done by studying the size of these networks` genotype.