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7 x 10, illustrated
ISSN
1064-5462
E-ISSN
1530-9185
2014 Impact factor:
1.39

Artificial Life

Fall 2004, Vol. 10, No. 4, Pages 397-411
(doi: 10.1162/1064546041766415)
© 2004 Massachusetts Institute of Technology
Tracking the Trajectories of Evolution
Article PDF (2.12 MB)
Abstract

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.