This book offers a concise introduction to morphogenetic computing showing that its use makes
global and local relations defects in crystal non-Euclidean geometry databases with source and
sink genetic algorithms and neural networks more stable and efficient. It also presents
applications to database language nanotechnology with defects biological genetic structure
electrical circuit and big data structure. In Turing machines input and output states form a
system - when the system is in one state the input is transformed into output. This
computation is always deterministic and without any possible contradiction or defects. In
natural computation there are defects and contradictions that have to be solved to give a
coherent and effective computation. The new computation generates the morphology of the system
that assumes different forms in time. Genetic process is the prototype of the morphogenetic
computing. At the Boolean logic truth value we substitute a set of truth (active sets) values
with possible contradictions. The value of a proposition is a set of true and false values. The
aim of morphogenetic computing is to use and solve the contradictions in order to transform
systems to allow classical computation.
