Human-intelligent systems and features of their functioning

The essence of human-intelligent systems is revealed in the work, their composition and structure are considered. The basis for the functioning of a human-intelligent system is the anthropocentric approach. In human-intelligent systems, people, decision support systems and expert systems organically complement each other, using obvious advantages. People support a human-intelligent system in the target state, they are the leading link in the system, organizing its work, formulating and solving particular problems. The software components of the human-intelligent system perform reinforcing and advisory functions. The problematic of decision-making in human-intelligent systems is described, conditioned by the subjectivity and ambiguity of the activity of participants in the system. The concepts of vague goals, limitations and decisions in human-intelligent systems are studied, an attempt is made to develop a general theory of iterative processes of interaction and decision-making, which to varying degrees include vagueness and uncertainty. A numerical example of the iterative process of interaction in an abstract human-intelligent system is given. The problem of revealing control actions, allowing to find the best solution of the creative problem more quickly, is considered.