Cell Interactions as a Control Tool of Developmental Processes for Evolutionary Robotics

This paper describes new genetic and developmental principles for an artiicial evolutionary system (AES) and reports the rst simulation results. Emphasis is placed on those developmental processes which reduce the length of the genome to code for a given problem. We exemplify the usefulness of developmental processes with cell growth, cell diierentiation and the creation of neural control structures which we used to control a real world autonomous agent. The importance of including developmental processes relies much on the fact that a neural network can be speciied implicitly by using cell-to-cell communication.