Development of a Human-Machine Interface Based on Hybrid Intelligence

The principles of harmonization of interactions between natural and artificial intelligence as part of ergo-technical systems are considered. An updated concept of the man-machine system has been developed within the framework of digitalization of management of socio-economic systems that have an arbitrary set of NON-factors that allow their implementation by soft models. Within the framework of modeling such an interface, studies of the synergy of artificial intelligence of an automated system of the technical component of the ergo-system and the natural intelligence of a human operator are of particular importance. It is shown that the requirement of universality, the ability to perform various management tasks, and its compatibility with a number of functional subsystems of the control object itself - the machine - are important for the interface. The article presents the general structure of the interaction of a dual human-machine intelligence and an object, the environment and an intelligent control system, and highlights soft models. This often allows us to correct the actions of the operator that can lead to undesirable consequences. The article considers bionic approaches to the concept of hybrid, human-machine intelligence. The article considers adaptive hybrid intelligent control schemes for a man-machine system, a variant of their classification and a method of construction. Accordingly, for the implementation of this approach, a method is proposed that includes a combination of algorithms and methods of traditional formal logical thinking and fuzzy logic.