Abstract: The article describes an algorithm for generating control actions on various engineering systems of an intelligent building, individually or in combination, within the framework of intelligent control of the parameters of the internal environment of such a building. The intelligence of the algorithm is due to the possibility of its autonomous operation and adaptability in relation to the parameters of the internal environment in relation to which the monitoring and control is carried out. The article provides a brief description of the algorithm, as well as a mathematical model for the selection and application of control actions. As a research method, a set-theoretic approach to modeling management processes was adopted, as well as BPMN notation for representing algorithms. The novelty of the issue under consideration is due to the use of a functional approach for the development of an intelligent algorithm, as well as the use of methods of distributed computing and computing on terminal devices within the framework of the hybrid paradigm of artificial intelligence. The relevance of the presented model is based on the need to translate the life cycle management processes of buildings and structures into the Industry 4.0 paradigm in order to increase their degree of intelligence. The article will be of interest to scientists and engineers working in the field of automation of technological and production processes. The present work is theoretical.

Abstract: The subject of research is the architecture of artificial intelligent systems, developed as part of a hybrid approach to artificial intelligence. The article offers the author’s vision of the process of constructing artificial intelligent agents based on a hybrid approach using organismic principles. An artificial intelligent agent with a hybrid scheme is a “cybernetic machine” operating in a certain environment and functionally interacting with it. Of interest is the way the agent interacts and makes decisions, in which information from the environment passes through many sensors, and then it is cleaned up and sensory integrated with further translation into a symbolic form for decision making based on symbolic logic and the operation of a universal output machine. As the main research methodology, a systems engineering approach to the analysis and construction of technical systems was adopted, as well as a functional approach as an additional research method. The novelty of the study is in the use of a hybrid paradigm for constructing artificial intelligent systems in conjunction with systems and functional approaches in the design of technical systems, which made it possible to generalize the available data on the interaction of intelligent agents with the environment and identify interesting patterns for use in the development of artificial intelligence systems. The main conclusion of the study is the possibility of using a hybrid paradigm to obtain artificial intellectual agents that have important advantages of the upward and downward artificial intelligence paradigm - the ability to learn and behave appropriately in an unknown environment and the ability to explain the reasons for their decisions, respectively. This important finding will advance research into explainable artificial intelligence.