MODERN MODELS, METHODS, AND SOFTWARE TOOLS USED TO CREATE INTEGRATED EXPERT SYSTEMS

Abstract

The article discusses modern models, methods, and software tools used to create integrated expert systems. The main aspects of the design, development and implementation of such systems in various fields, as well as their impact on the effectiveness of decision-making, are discussed. 

With the development of information technologies and interdisciplinarity approaches, there is a need to integrate various sources of knowledge and technology within the framework of a single intellectual platform. This is how integrated expert systems (ICS) appeared, which combine the capabilities of classical expert systems, knowledge bases, neural network algorithms, machine learning, ontological models and big data processing modules. Such systems are able not only to interpret expert knowledge, but also to adapt to changing conditions, effectively work with distributed and different sources of information