We present a novel approach toward evolving artificial embryogenies, which omits the graph representation of gene regulatory networks and directly shapes the dynamics of a system, i.e., its phase space.We VIT.C 500MG MIXED FRUIT show the feasibility of the approach by evolving cellular differentiation, a basic feature of both biological and artificial development.
We demonstrate how a spatial hierarchy formulation can be integrated into the framework and investigate the evolution of a hierarchical system.Finally, we show how the framework allows the investigation of allometry, a biological phenomenon, and its role for evolution.We find that direct evolution of allometric change, i.e.
, the evolutionary adaptation of the speed of system states on transient AUTOMATIC trajectories in phase space, is advantageous for a cellular differentiation task.