Theory and Practice of Application of Artificial Intelligence Methods

Abstract

Artificial intelligence is an interdisciplinary scientific area, which originated about 60 years ago at the interface of psychology, linguistics, mathematical methods, and computer sciences. This basically experimental science has today developed several methods of its own: knowledge representation, modeling of reasoning and behavior, and text and data mining. New independent scientific and applied disciplines have originated within the framework of artificial intelligence: nonmonotonic and descriptive logics, heuristic programming, expert systems, and knowledge-based programming technologies. Interest in artificial intelligence, having increased in recent years, is associated with the development of new promising technologies based on the above methods, in particular, knowledge discovery in databases (or, as they say today, machine learning), natural language processing, self-contained unpiloted intelligent systems, and hybrid human–machine intelligence.