Evolution of robustness in digital organisms

被引:31
|
作者
Edlund, JA [1 ]
Adami, C [1 ]
机构
[1] CALTECH, Digital Life Lab 136 93, Pasadena, CA 91125 USA
关键词
D O I
10.1162/106454604773563595
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We study the evolution of robustness in digital organisms adapting to a high mutation rate. As genomes adjust to the harsh mutational environment, the mean effect of single Imitations decreases, up until the point where a sizable fraction (up to 30% in many cases) of the Imitations are neutral. We correlate the changes in robustness along the line of descent to changes in directional epistasis. and find that increased robustness is achieved by moving from antagonistic epistasis between mutations towards codes where mutations are, on average, independent. We interpret this recoding as a breakup of linkage between vital sections of the genome, up to the point where instructions are maximally independent of each other. While such a recoding often requires sacrificing some replication speed. it is the hest strategy for withstanding high rates of mutation.
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收藏
页码:167 / 179
页数:13
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