Principy Darwinovy teorie evoluce v aplikacích umělé inteligence

The goal of this work is to verify the conformity of Darwin's theory of evolution with models known from Artificial Intelligence. Cellular Automata were chosen as a suitable model, because its purpose is simulation of live. The first question to answer was, where the life comes from. There was found a relation between complexity and order and emergency of life. After initial period of chaos the order emerges in complex systems due to self-organization. This doesn't show any signs of instability, because it tends to reorganize after it is disorganized. The emergency of species is possible only behind the particular volume of complexity of the system. It was also found, that something like competition is taking place in complex system if there are more species. Another finding is that any modification of the internal rules of complex system may have destructive or degenerative impacts. The last finding is that the necessary condition for evolution is mutations of genetic information. This is the only way for organism to adapt to environment and better compete with others. Mutation is possible due to Natural Selection as it was proposed by Darwin. In case of Cellular Automata this process is simulated by algorithm based strictly on Darwin's theory of evolution. Unfortunately, all conditions of Darwin's theory of evolution were fulfilled only in one examined case. This was Cellular Automat known as an Evo Loop of Hiroky Sayama, based on Langton Loops.