Integral knowledge as methodologic foundation for design of Artificial Intelligence systems

Abstract

An all-system, interdisciplinary approach in the field of artificial intelligence research, applicable for airspace industry is proposed. It is important to determine the philosophical direction in which the cognitive functions of “machine thinking” are implemented. The cognitive activity of intelligent machines depends on what is meant by the categories “intelligence”, “consciousness” or “social consciousness of machines”. In the Russian context, the system of concepts of Russian philosophy, such as integral knowledge, is relevant as a worldview basis for the practical development of artificial intelligence systems and industrial development of anthropocentric artificial intelligence. Integral knowledge – is the leading category of Russian philosophy of the XIX century – organic synthesis of various types of knowledge. Within the framework of an interdisciplinary approach, based on system research, it is obvious that full-fledged empirical technical modeling of artificial intelligence systems is possible. Such modeling can be carried out with the imitation of “intelligence” and with the use of well-known categories: science, philosophy, etc. Scientific and methodological levels of interdisciplinary research of information interaction of robots in groups are analyzed. A scheme of systematic research of specific technical developments is proposed, which uses the features of forms of social consciousness and the integral knowledge of a person.