ABSTRACT
Introduction The ability of a human being to find solutions for particular problematic situations is called human intelligence. It is founded on the ability of symbolic (exact and abstract) expression of thoughts and interpretation of sensory stimuli in the form of movement, speech, writing, or pictures. We know from our experience that humans have the ability to simultaneously process a large amount of information and make effective decisions, although neither input information nor consequent actions are precisely (firmly) defined. Our experience tells us that the level of knowledge and gained experience has a large impact on the actual success of human actions. Human thinking and decision making mechanisms represent a perfect model, which scientists and engineers attempt to imitate and transform into practical solutions of diverse technical and nontechnical problems. The results of striving for such development are numerous procedures called artificial intelligence methods. For example, artificial sight and hearing are based on the use and processing of information from cameras and microphones — that is, from technical devices whose functionality matches the human sensory organs — that is, eyes and ears. We can also include algorithms, which contain elements of the human way of thinking and problem solving, such as artificial neural networks, fuzzy logic algorithms, evolutionary or genetic algorithms, and expert systems, into the basic forms of artificial intelligence.
