Abstract
The article is devoted to the creation of an intelligent decision-making technology for complex objects control using the bioinspired approach of artificial immune systems (AIS) and the principles of immunological homeostasis for the implementation of the Industry 4.0 program. The bases for creating a unified artificial immune system (UAIS) consisting of modified algorithms of clonal selection, negative selection and immune network have been developed in order to identify the most effective multidimensional dynamic data for processing and predicting. The unification of AIS algorithms based on systematization and classification is used to reduce the variety of modifications and to find the best solution for a specific data set. A technique for evaluating the effectiveness of modified UAIS algorithms based on the principles of immunological homeostasis has been developed. The main stages of the functioning of the proposed technology for complex objects of the oil and gas industry and the advantages of this approach are considered.