In our experiment, during the training of the discriminator ANN, we use the resolution of the visual and target fields fixed at 11 x 11. Thus, the connective CPPN must learn the correct connectivity pattern between the 121 inputs of the visual field and the 121 outputs of the target fields, which results in a total of 14,641 potential connection weights.
The following diagram shows the scheme of the substrate for the discriminator ANN:
The discriminator ANN shown in the diagram has two layers with nodes forming one two-dimensional planar grid per layer. The connective CPPN draws the connectivity patterns by connecting nodes from one layer to another.
At each generation of the evolution, each individual in the population (the genome encoding the CPPN) is evaluated for its ability...
