Networks of Bio-inspired Processors

Fernando Arroyo Montoro, Juan Castellanos, Victor Mitrana, Eugenio Santos, José María Sempere

Abstract

The goal of this work is twofold. Firstly, we propose a uniform view of three types of accepting networks of bio-inspired processors: networks of evolutionary processors, networks of splicing processors and networks of genetic processors. And, secondly, we survey some features of these networks: computational power, computational and descriptional complexity, the existence of universal networks, eciency as problem solvers and the relationships among them.

Keywords

language; literature; computation

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