Basic considerations: introduction, classification, concepts and definitions. Structure of problem solving based on artificial intelligence: problem presentation, knowledge base, method and search program, problem solving. Areas of application of artificial intelligence. Neural networks: definitions, possibilities and scope of application, division, model and architecture of neural networks, portable functions, laws and types of training, realization of concrete production neural networks. Expert systems: concept, significance and scope of application, concept of expert system, application of expert system in materials processing processes. Phase logic: basic concepts and application possibilities, information flows in the system stage, phase input, phase of rules, aggregation and deflection of outputs, concrete realization. Genetic algorithms and genetic programming: concept, concept, significance and domain of concrete application.