Editorial

Abstract

There are many challenges to creating artificial intelligence systems. There are limited resources, insufficient knowledge in the field, feasibility, and many other technical problems on the way to creating AI. Artificial Intelligence currently remains a scientific field related to computer modeling of human intellectual functions. Artificial intelligence systems are generally used to refer to a computer system’s ability to perform tasks that are intrinsic to human intelligence, such as logical inference and learning tasks. Any task whose solution algorithm is not known in advance or whose data are incomplete can be classified as an AI task. Systems, programs performing actions to solve a task can be classified as AI if their activity is similar to the result of a human in solving the same task. Therefore, a number of software means can be referred to as AI: text recognition systems, automated design, self-training programs, etc. But not only for this reason, but also because they operate on similar principles to humans. There are two main promising directions in AI research. The first is to bring AI systems closer to the principles of human thinking. The second is to create AI representing the integration of already developed AI systems into a single system capable of solving human problems.