Tracking the trajectories of evolution.
This article proposes a method of visualizing and measuring evolution in artificial life simulations. The evolving population of agents is treated as a dynamical system. The proposed method is inspired by the notion of trajectory. The article provides examples of tracking of trajectories of evolutionary systems in the spaces of genotypes, strategies, and some global characteristics. Visualization similar to a bifurcation diagram is used to represent results of a series of simulations.
Burtsev
Mikhail S
MS
Keldysh Institute of Applied Mathematics, 4 Miusskaya Square, Moscow RU-125047, Russia. mbur@narod.ru
D001185:Artificial Intelligence; D005075:Biological Evolution; D003198:Computer Simulation; D008957:Models, Genetic