Editorial: Renaissance of Biomimicry Computing

Nature is an ultimate inspiring source of imagination and innovation. Mathematical models of biological phenomena can be traced back to the 13th century when Fibonacci described a growing population of rabbits with his famous Fibonacci Series. Disease outbreak was modeled mathematically in the 18th century by D. Bernoulli. In 1836, Pierre Francois Verhulst formulated the logistic growth model that became a building block of modern system dynamics and machine learning algorithms. In the 1950s, the pioneers of modern Computer Science Alan Turing and John von Neumann not only developed their one-dimensional computing machine models but also discovered two-dimensional cellular automata, which explain distributed textural patterns and self-reproduction in nature [1,2,6]. In collaborating with neuroscientists and engineers in the 1960s, Norbert Wiener developed mathematical models for feedback control, nervous oscillation movements, self-reproduction, learning, and even Gestalt phenomena which he called “Cybernetics” [3]. …