Sergey F. Sergeev

Background. The problem of artificial consciousness is relevant in connection with intensive development of artificial intelligence technologies and the complication of technological environment of the mankind, including artificial agents and decision-making systems. It is widely covered in the interdisciplinary discourse of natural sciences, humanities and engineering. Yet, the unresolved number of fundamental issues of a methodological, systemic, and technological nature constrains its solution. The paper considers the problem of creating artificial systems that make the world and the technical subject acting in them. 

Objective. The engineering and psychological study had it purpose to investigate the technological possibilities and limitations of creating a system with artificial consciousness based on a permanently operating network learning mechanism. 

Results. The author proposed a post-non-classical two-stage model of the mechanism of techno-self-organization of artificial subjective reality, in which techno-consciousness performs the task of a multi-level multi-qualitative reduction of a part of reality accessible to the cognitive experience of a technical subject. It is substantiated that at the current level of technology development, creating a reflective consciousness with predetermined properties is impossible. However, engineering methods allow for creating an environment that generates artificial subjective reality and reflective consciousness. 

Conclusion. The article considers fundamental scientific, methodological, psychological, and technological issues of forming self-organizing processes underlying artificial consciousness. The author proposed his concept and metaphorical model of the brain as a generative self-organizing environment. The study considers the possibility of its implementation in designing and analyzing systems with artificial consciousness.