Cascade of complexity in evolving predator-prey dynamics.
We simulate an individual-based model that represents both the phenotype and genome of digital organisms with predator-prey interactions. We show how open-ended growth of complexity arises from the invariance of genetic evolution operators with respect to changes in the complexity, and that the dynamics which emerges shows scaling indicative of a nonequilibrium critical point. The mechanism is analogous to the development of the cascade in fluid turbulence.
Guttenberg
Nicholas
N
Department of Physics and Institute for Genomic Biology, University of Illinois at Urbana-Champaign, 1110 West Green Street, Urbana, Illinois, 61801-3080, USA.
Goldenfeld
Nigel
N
D000465:Algorithms; D000818:Animals; D005075:Biological Evolution; D005247:Feeding Behavior / Q000502:physiology*; D020387:Food Chain; D016678:Genome; D015233:Models, Statistical; D009154:Mutation / Q000502:physiology; D017354:Point Mutation