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

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

Research output: Contribution to journalConference article

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.

Original languageEnglish
Article number12042
JournalJournal of Physics: Conference Series
Volume1327
Issue number1
DOIs
Publication statusPublished - 9 Oct 2019
Event5th International Conference on Innovations in Non-Destructive Testing SibTest 2019, NDTS 2019 - Yekaterinburg, Russian Federation
Duration: 26 Jun 201928 Jun 2019

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ASJC Scopus subject areas

  • Physics and Astronomy(all)

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