摘要：In view of the potential global human factors threats, NBIC convergence in manufacturing systems requires new, sustainable approaches to HR management. The proposed methodology is based on the systems paradigm of Janos Kornai, which is used in the framework of BigData technologies, artificial intelligence, and blockchain. The problem of control, optimization and evolution of the human factor in NBIC-production cyber-physical systems is solved by means of the developed human-oriented concept of HR-resources management, the development of which occurs in a spiral, involving exit from the system to form new meanings and concepts. Each turn of the spiral is a self-organizing system. For the current stage of development, a cyber-physical system of interaction “Man” - “Machine” is proposed, based on global and double iterative connections, parallel analysis, scenario forecasting, machine learning, cognitive component and collective decision making. The developed human-oriented concept of HR-resources management allows you to control, optimize and develop human production activities, ensure iterative self-development and self-improvement of the system, guarantee the stability and safety of the system, maximize the percentage of return on human resources and reduce the level of opportunistic human behavior.
