Using artificial intelligence to optimize intermodal networking of organizational agents within the digital economy

A R Bahtizin,E L Loginov,V Y Bortalevich,A I Soldatov

doi:10.1088/1742-6596/1327/1/012042

Abstract

The problems of forming a digital economy supersystem have been analyzed by the authors using a key business model of sharing digital assets by organizational agents based on the convergence of telematic, computing and information services with the final output of a complex of managed digital objects to a new quality control based on the M2M principle integration. The integration of standardized network infrastructures allows the transformation of traditional linear-hierarchical chains of management transactions in a network of transactions of digital objects that perform intelligent interaction without human intervention through IP-like connections. The introduction of universal shells of any business process from the processing of primary data to processing in the deep region with the use of advanced multi-agent optimization algorithms of the next [after 3G] generation [based on 4G, 5G, etc.], implemented within the electronic micro-, meso-and macrocontent allows us to ensure the stability of the super system within the optimal values of the activities of controlled digital objects due to the increased possibilities of observation and control.

Highlights

At present, there is no single methodological basis for the formation of a system-structural approach to improving, based on the digital dominant, the manageability of the Russian economy with the expansion of the spectrum of optimized indicators of individual digital objects and their aggregated groups [1].2
Problem statement In this regard, there is an urgent need for new business models that shape the conditions and mechanisms for ensuring - this is very important for our country - civilized relations in business and between government and business, which are prospectively structured today as elements digital economy
The advantage of implementing the proposed by the authors business model of sharing digital assets by organizational agents based on the convergence of telematics, computing and information services for managing complex sets of digital objects within the digital economy is qualitatively broader opportunities for collecting, processing, storing and distributing information

Summary

Introduction

There is no single methodological basis for the formation of a system-structural approach to improving, based on the digital dominant, the manageability of the Russian economy with the expansion of the spectrum of optimized indicators of individual digital objects and their aggregated groups [1]. The advantage of implementing the proposed by the authors business model of sharing digital assets by organizational agents based on the convergence of telematics, computing and information services for managing complex sets of digital objects within the digital economy is qualitatively broader opportunities for collecting, processing, storing and distributing information. From the point of view of ensuring effective functioning, components that constitute the invariant core of the integration of standardized network infrastructures using cloud principles should be included in the implementation architecture of the convergence of telematics, computing and information services [7,8,9] These principles imply distributed and remote processing and storage of data based on the interaction and integration of corporate network environments of various owners (tenants, etc.) of digital assets integrated from separate quasi-autonomous elements in the network (cloud) computing within the framework of the super economy digital economy

Discussion

Conclusions