The fundamental dynamical processes of evolution are connected to processes based on sequences - the genetic messages coded by DNA. In biological evolution we can discover stages of the emergence of novel features. Nature apparently explores some unknown mechanisms of complexification of nets of replicating strings. It is known that genetic changes are not directly manifested in phenotypic changes. Rather, a complex developmental machinery mediates between genetic information and phenotypic characteristics. It provides a certain robustness by filtering out genetic changes. Such degree of freedom allows the species to accumulate appropriate mutations without interruption of the development. When the volume of heritable changes achieving critical threshold, this can forcé out the development to a new higher-level trajectory. I intend to overview here some findings on the way of searching and exploitation of the rules for evolutionary complexification. I hope these algorithms could find applications in the presentation problem of evolutionary computations.
CITATION STYLE
Spirov, A. V. (1996). Self-assemblage of gene nets in evolution via recruiting of new netters. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1141, pp. 91–100). Springer Verlag. https://doi.org/10.1007/3-540-61723-X_973
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