The third regroups the two firsts. It is shown that a controller resting solely on the appraisal can have a success score equal to a controller resting on a decision-making system, and that the addition of an appraisal part allows a better rate of success in dynamic environments. At the end, perspectives of appraisal application are pointed, notably in learning. Artificial neurogenesis seems to be a promising way to evolve neural networks. It doesn't use a direct encoding of networks on the chromosomes.
Chromosomes contains instructions to grow a network from an initial seed.
This growing process is called morphogenesis or neurogenesis. The neurogenesis method developed is strongly inspired by the natural protein regulation process. Some of the proteins corerspond to particular functions implying specific behavior for the for the cell, such as splitting or connecting behavior. This method is applied to evolve neural controllers for the Khepera robots. The system is made up of three parts interconnected in an evolutionary loop.