Abstract

Background. Th e problem of artifi cial consciousness is relevant in connection with intensive development of artifi cial intelligence technologies and the complication of technological environment of the mankind, including artifi cial agents and decisionmaking 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. Th e paper considers the problem of creating artifi cial systems that make the world and the technical subject acting in them. Objective. Th e 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 artifi cial subjective reality, in which technoconsciousness 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 refl ective consciousness with predetermined properties is impossible. However, engineering methods allow for creating an environment that generates artifi cial subjective reality and refl ective consciousness. Conclusion. The article considers fundamental scientific, methodological, psychological, and technological issues of forming self-organizing processes underlying artifi cial consciousness. Th e author proposed his concept and metaphorical model of the brain as a generative self-organizing environment. Th e study considers the possibility of its implementation in designing and analyzing systems with artifi cial consciousness.

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