Evolving Evolvability in the Context of Environmental Change: A Gene Regulatory Network (GRN) Approach
BibTeX
@MISC{Wang_evolvingevolvability,
author = {Yifei Wang and Stephen G. Matthews and Joanna J. Bryson},
title = {Evolving Evolvability in the Context of Environmental Change: A Gene Regulatory Network (GRN) Approach},
year = {}
}
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Abstract
Evolvability is the capacity of a genotype to rapidly adjust to certain types of environmental challenges or opportuni-ties. This capacity, documented in nature, reflects fore-sight enabled by the capacity of evolution to capture and represent regularities not only in extant environments, but in the ways in which the environments tend to change. Here we posit that evolvability substantially benefits from the hierarchical representations afforded by Gene Regulatory Networks (GRNs). We present an extension of standard Genetic Algorithms (GAs) and demonstrate its capacity to learn a genotype phylogeny able to express rapid phenotypic shifts in the context of an oscillating environment.
