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arXiv · 0711.3580

An evolutionary model with Turing machines

Giovanni Feverati·Fabio Musso
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Abstract

The development of a large non-coding fraction in eukaryotic DNA and the phenomenon of the code-bloat in the field of evolutionary computations show a striking similarity. This seems to suggest that (in the presence of mechanisms of code growth) the evolution of a complex code can't be attained without maintaining a large inactive fraction. To test this hypothesis we performed computer simulations of an evolutionary toy model for Turing machines, studying the relations among fitness and coding/non-coding ratio while varying mutation and code growth rates. The results suggest that, in our model, having a large reservoir of non-coding states constitutes a great (long term) evolutionary advantage.

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BibTeXRIS

Giovanni Feverati, Fabio Musso. 2007-11-22. An evolutionary model with Turing machines. https://doi.org/10.1103/physreve.77.061901

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