Algorithmically probable mutations reproduce aspects of evolution, such as convergence rate, genetic memory and modularity
نویسندگان
چکیده
منابع مشابه
Algorithmically probable mutations reproduce aspects of evolution such as convergence rate, genetic memory, modularity, diversity explosions, and mass extinction
Natural selection explains how life has evolved over millions of years from more primitive forms. The speed at which this happens, however, has sometimes defied explanations based on random (uniformly distributed) mutations. Here we investigate the application of algorithmic mutations (no recombination) to binary matrices drawn from numerical approximations to algorithmic probability in order t...
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ژورنال
عنوان ژورنال: Royal Society Open Science
سال: 2018
ISSN: 2054-5703
DOI: 10.1098/rsos.180399