Part 8. Human-oriented artificial intelligence and neural interface technologies

Problems of hybrid intelligence systems development

A. P. Ryjov

Moscow State University, Faculty of Mechanics and Mathematics

Abstract: The report describes the concept of human-computer intelligent systems (hybrid intelligence systems), the main problems of their development, provides examples of such systems for organizations at the international, federal, and corporate levels. The focus is on the analytical capabilities of such systems. Formulations of direct and inverse problems are given. It is shown that, in contrast to standard OLAP analytics (analysis of the past) and from data mining analytics (forecasting the future), such systems allow constructing the future. In particular, understand what and how should be changed in the analyzed system to achieve the maximum effect within a given budget and / or how to achieve a given effect with a minimum budget. Such features of hybrid intelligence systems make it possible to use them in a wide class of problems of managing socio-economic processes and socio-technical systems.