DOI: 10.33917/es-5.191.2023.78-93

Analysis of the essence, content and forms of the scenario state of Japan in 2040, reflected in the 11th Scientific and Technical Forecast of NISTEP in 2019, revealed a number of conceptual dialectical contradictions. They narrow down to the question of admissibility and expediency of changing a man’s nature in order to ensure his prosperous, safe, meaningful and happy existence. The author proposes for discussion a conclusion on inevitability of the transhumanization of a mankind on the scale of a single country (Japan) and the whole world, given the nature of the great challenges facing it. The possibility of keeping the historical development in a conditionally humanistic direction is noted, given the emphasis of social reforms in Japan, reflected in the 6th Basic Plan for scientific, technical and innovative development of the country, on building a society for the fullest realization and use of human intellectual potential.

References:

1. The 10th Science and Technology Foresight Scenario Planning from the Viewpoint of Globalization. Summary Report. Science and Technology Foresight Center, National Institute of Science and Technology Policy (NISTEP), Ministry of Education, Culture, Sports, Science and Technology (MEXT). September, 2015, available at: https://nistep.repo.nii.ac.jp/records/4491

2. Report on the 5th Science and Technology Basic Plan. Council on Science, Technology and Innovation. Cabinet office, Government of Japan, 2015, December 18, available at: https://www8.cao.go.jp/cstp/kihonkeikaku/5basicplan_en.pdf

3. Toward Realization of the New Economy and Society — Reform of the Economy and Society by Deepening of the “Society 5.0” — Outline. Keidanren (Japan Business Federation), 2016, April 19, available at: https://www.keidanren.or.jp/en/policy/2016/029_outline.pdf

4. Mamed’yarov Z.A. Doroga k “Obshchestvu 5.0” [The Road to Society 5.0]. Ekspert, 2018, no 44, available at: https://expert.ru/expert/2018/44/dorogak-

obschestvu-5_0/?ysclid=llm6l4drah852037971

5. Uemura N.M. “Obshchestvo 5.0” — vzglyad Mitsubishi Electric [Society 5.0: the View of Mitsubishi Electric]. Ekonomicheskie strategii, 2017, no 4, pp.

122–131, available at: https://www.inesnet.ru/wp-content/mag_archive/2017_04/es2017-04-122-131_Uemura_Noritsugu.pdf

6. Mitsubishi Electric predstavila platformu e-F@ctory rossiiskim kompaniyam [Mitsubishi Electric Presented the e-F@ctory Platform to Russian Companies]. OOO “Mitsubisi Elektrik (RUS)”, 2017, 20 iyulya, available at: https://ru.mitsubishielectric.com/ru/news/releases/local/2017/0720-a/pdf/170720-a_local_ru_ru.pdf

7. Overview of Japan’s Green Transformation (GX). GR Japan, 2023, January, available at: https://grjapan.com/sites/default/files/content/articles/files/

8. Green Transformation (GX). Main points. Tentative translation. Keidanren, 2022, May 17, available at: https://www.keidanren.or.jp/en/policy/2022/043_point.pdf

9. Kostyukova K.S. “Zelenaya” transformatsiya Yaponii i nekotorye kontury novoi energeticheskoi politiki strany [Elektronnyi resurs]. π-Economy, 2022, vol. 15, no 6, pp. 54–70, DOI: https://doi.org/10.18721/JE.15604

DOI: 10.33917/es-2.188.2023.90-93

Tougher requirements for the accuracy and reliability of the system time scale (TS) in the electric power industry, as well as changes in the geopolitical situation, have caused the need to revise the existing methods of TS organization. “UEC” JSC has developed the Methodological Recommendations “Unified Precision Time System at High-Voltage Network Facilities”. The article reveals the current method of organizing power facilities of the power grid companies in the Russian Federation. Results of the analysis of the need to improve reliability of the TS organization and to ensure the required accuracy of time signals, as well as proposals for their implementation are presented.

References:

1. Bogdanov E.A., Ivanov A.M., Kol’tsov P.A., Shvarts M.L. Edinaya sistema sinkhronizatsii vremeni v tekhnologicheskikh sistemakh energoob”ektov i DTs RSK [Unified Time Synchronization System in Technological Systems of Power Facilities and RSK DC]. Moskovskii energetik, 2022 (dekabr’), no 10(144), pp. 6–7.

2. Ryzhkov A.V., Donchenko S.I., Ivanov A.V., Koltunov M.N., Savchuk A.V., Shvarts M.L. Peredacha signalov vremeni po seti svyazi obshchego pol’zovaniya [Transmitting Time Signals over a Public Communications Network]. Elektrosvyaz’, 2010, no 12, pp. 42–47.

3. Ryzhkov A.V., Shvarts M.L., Aladin V.M., Isupov A.V. Opyt vnedreniya sistem chastotno-vremennogo obespecheniya setei svyazi [Experience in Implementing Systems for Time-Frequency Support of Communication Networks]. T-Comm: Telekommunikatsii i transport, 2022, vol. 16, no 7, pp. 21–28.

4. Zuev E.V., Ryzhkov A.V., Pelyushenko A.S., Samatov V.I., Sakharov B.A. Pervichnyi etalonnyi istochnik VCH-1008C sistemy taktovoi setevoi sinkhronizatsii v tsifrovykh setyakh [VCH-1008C Primary Reference Source for Network Clock Synchronization System in Digital Networks]. Elektrosvyaz’, 2013, no 2, pp. 32–33.

5. Shvarts M.L., Ryzhkov A.V. Sovremennye tendentsii razvitiya sistem setevoi sinkhronizatsii v setyakh elektrosvyazi. Ot pleziokhronnykh do kogerentnykh setei [Modern Trends in the Development of Network Synchronization Systems in Telecommunication Networks. From Plesiochronous to Coherent Networks]. Sistemy sinkhronizatsii, formirovaniya i obrabotki signalov, 2021, no 4, pp. 27–38.

DOI: 10.33917/es-1.187.2023.56-69

In the circumstances of sanctions-related economic and scientific-technical blockade, the need to build digital mechanisms for managing import substitution processes on the basis of planning and coordinating competencies, similar to the competencies that the USSR State Committee for Science and Technology had, has sharply actualized. It is proposed to use intelligent digital platforms to control the development of science and technology based on the principles of the Soviet information network OGAS and EGSVC projects. The authors of the article substantiate necessity to apply digital information and communication technologies and computing services at various levels of management for innovative agents of any form of ownership through creating and configurating multilayer information-management fields.

References:

1. Ageev A.I., Loginov E.L. Mirovoe soobshchestvo v usloviyakh sverkhkriticheskoi bifurkatsii [The World Community in the Conditions of Supercritical Bifurcation]. Upravlenie slozhnymi organizatsionnymi i tekhnicheskimi sistemami v usloviyakh sverkhkriticheskikh situatsii: Materialy mezhdunarodnoi nauchno-prakticheskoi konferentsii. Moskva, MNIIPU, 21–22 aprelya 2022 g. [Management of Complex Organizational and Technical Systems in Conditions of Supercritical Situations: Proceedings of the International Scientific and Practical Conference. Moscow, MNIIPU, April 21–22, 2022]. Moscow, INES, 2022, pp. 9–12.

2. Ageev A.I., Loginov E.L. Rossiya v novoi ekonomicheskoi real’nosti [Russia in a New Economic Reality]. Moscow, Institut ekonomicheskikh strategii, Assotsiatsiya “Analitika”, 2016, 460 p.

3. Grabchak E.P. Importozameshchenie v energetike Rossii v usloviyakh sanktsii [Import Substitution in the Russian Energy Sector in the Context of Sanctions]. Upravlenie slozhnymi organizatsionnymi i tekhnicheskimi sistemami v usloviyakh sverkhkriticheskikh situatsii: Materialy mezhdunarodnoi nauchno-prakticheskoi konferentsii. Moskva, MNIIPU, 21–22 aprelya 2022 g. [Management of complex organizational and technical systems in conditions of supercritical situations: Proceedings of the international scientific and practical conference. Moscow, MNIIPU, April 21–22, 2022]. Moscow, MNIIPU, 2022, pp. 16–18.

4. Grabchak E.P., Loginov E.L., Chinaliev V.U., Epishkin I.I. Upravlenie razvitiem slozhnykh nauchno-tekhnicheskikh kompleksov na osnove intellektual’nykh tsifrovykh platform (realizatsiya kompetentsii Goskomiteta SSSR po nauke i tekhnike v usloviyakh tsifrovoi ekonomiki) [Managing the Development of Complex Scientific-technical Systems Based on Intelligent Digital Platforms (Implementation of the Competencies of the USSR State Committee for Science and Technology in Conditions of Digital Economy)]. Moscow, INES, 2023, 504 p.

5. Chinaliev V.U. Razvitie politiki importozameshcheniya v promyshlennosti Rossii [Developing Import Substitution Policy in the Russian industry]. Upravlenie slozhnymi organizatsionnymi i tekhnicheskimi sistemami v usloviyakh sverkhkriticheskikh situatsii: Materialy mezhdunarodnoi nauchno-prakticheskoi konferentsii. Moskva, MNIIPU, 21–22 aprelya 2022 g. [Management of Complex Organizational and Technical Systems in Conditions of Supercritical Situations: Proceedings of the International Scientific and Practical Conference. Moscow, MNIIPU, April 21–22, 2022]. Moscow, MNIIPU, 2022.S. 50–53.

DOI: https://doi.org/10.33917/es-6.186.2022.104-110

The paper discusses three key issues that play a special role in the development of strategies and policies for digital technologies: 1) particularities of digital technologies that greatly influence the principles and methodological approaches to the development of strategic documents, 2) drivers, main players and trends of global market, 3) trends in the accumulation of a technological knowledge base to provide competitive advantages to national companies in the short and medium term.

References:

1. Gaponenko N.V., Glenn J.C. Technology Industry 4.0: Problems of Labor, Employment and Unemployment. Studies on Russian Economic Development, 2020, vol. 31, no 3, pp. 271–276.

2. Gaponenko N.V. Teoreticheskie i metodologicheskie osnovy issledovaniya innovatsionnykh sistem i formirovaniya tekhnologicheskikh prioritetov ikh razvitiya v ekonomike, osnovannoi na znaniyakh [Theoretical and Methodological Foundations for Studying Innovative Systems and Forming Technological Priorities of their Development in the Knowledge-Based Economy]. Moscow, IPRAN RAN, 2020, 151 p.

3. Gaponenko N.V. Zakonomernosti i osobennosti evolyutsii sektoral’nykh innovatsionnykh sistem v ramkakh dolgosrochnogo tsikla [Regularities and Evolution Features of Sectoral Innovation Systems within the Long-Term Cycle]. Systems and Management, 2020, no 1, pp. 44–67.

4. Gaponenko N.V. Sektoral’nye innovatsionnye sistemy v ekonomike, osnovannoi na znaniyakh [Sectoral Innovation Systems in the Knowledge-Based Economy]. Moscow, IPRAN RAN, 2021, 264 p.

5. Going Digital: Shaping Policies, Improving Lives. Paris, OECD Publishing, 2019.

6. IT Industry Outlook 2021. CompTIA, 2020.

7. Gaponenko N.V. Global’nye vyzovy v formirovanii politsentrichnogo mirovogo poryadka: traektorii retro i traektorii budushchego [Global Challenges in Formation of a Polycentric World Order: Retro Trajectories and Trajectories of the Future]. Ekonomicheskie strategii, 2020, vol. 22, no 1(167), pp. 28–35, DOI: https://doi.org/10.33917/es-1.167.2020.28-35/

8. Positive 5G Outlook Post COVID-19: What Does It Mean for Avid Gamers? Forest Interactive, 2020.

DOI: https://doi.org/ 10.33917/es-6.186.2022.96-103

The article proposes a variant of creating, basis of the existing duty services, security units and dispatch centers of the physical body of a large mining and metallurgical company the System of situational-analytical security centers (SASC system) as a system of information, information-analytical and information-technological support of managerial activities of the heads of corporate security unit, as well as heads of other departments of a company for collecting, accumulating, analyzing diverse information on the evolving situation in the field of security, its comprehensive presentation. Such a system for supporting management activities in the field of integrated security should include all lines of work that fall within the competence of the Department of Corporate Protection of the Company.

DOI: https://doi.org/10.33917/es-5.185.2022.52-59

The article dwells on the concept of building intelligent, knowledge-based decision support systems. A formalized risk management system is proposed. Based on the system, the author puts forward a solution to a particular problem from the banking sector in implementing projects related to distressed assets. Description and requirements to the tool for development, implementation and use of expert systems are presented.

References:

1. Shikaeva V.V. Pravovoi navigator dlya biznesa [Legal Navigator for Business]. Izdatel’skie resheniya, 2020, 162 p.

2. Ueno X., Isidzuka M. Predstavlenie i ispol’zovanie znanii [Representation and Use of Knowledge]. Moscow, Mir, 1989, 220 p.

3. Leong-Khong B., Plagman B. Sistemy slovarei-spravochnikov dannykh: Administrirovanie, realizatsiya, ispol’zovanie [Systems of Data Dictionary-Reference Books: Administration, Implementation, Use]. Moscow, Finansy i statistika, 1986, 311 p.

4. Forsait R. Ekspertnye sistemy. Printsipy raboty i primery [Expert Systems. Operating Principles and Examples]. Moscow, Radio i svyaz’, 1987, 224 p.

5. Rutkovskaya D., Pilin’skii M., Rutkovskii L. Neironnye seti, geneticheskie algoritmy i nechetkie sistemy [Neural Networks, Genetic Algorithms and Fuzzy Systems]. Moscow, Goryachaya liniya — Telekom, 2013, 384 p.

6. Terano T., Asai K., Sugeno M. Prikladnye nechetkie sistemy [Applied Fuzzy Systems]. Moscow, Mir, 1993, 368 p.

7. Zade L. Ponyatie lingvisticheskoi peremennoi i ego primenenie k prinyatiyu priblizhennykh reshenii [Concept of a Linguistic Variable and Its Application to Approximate Decision Making]. Moscow, Mir, 1976, 167 p.

DOI: https://doi.org/10.33917/es-5.185.2022.42-51

Neurodigital technologies qualitatively and quantitatively expand the possibilities of human behavior control, creating conditions for ensuring a targeted cognitive-psychological state of both an individual and groups within a neurocommunity. One of the key vectors for applying such new management opportunities is imprinting on a person of a positive perception of the surrounding reality, which contributes to maintaining socio-political stability in the state and society and also increases the efficiency of individual employees and their teams. Identification of psychosemantic qualities of a person based on analysis of his interests and preferences allows to form and imprint a cognitive-reflexive model of identification and interpretation of what is happening, adapted to a particular person, which serves as a source of actions for person and groups of his like-minded people and provides stability of the society, which is gradually acquiring the features of a neurocommunity.

References:

1. Vannevar Bush. As We May Think. The Atlantic, available at: https://www.theatlantic.com/magazine/archive/1945/07/as-we-may-think/303881/?single_page=true.

2. Ageev A.I. Golovokruzhenie intellekta [Intelligence Dizziness]. Ekonomicheskie strategii, 2019, no 5 (163), p. 5, available at: DOI: https://doi.org/10.33917/es-5.163.2019.5.

3. Denisov A.A., Sablin V.A. Rezul’taty aprobatsii sistemy upravleniya v postindustrial’nykh tekhnologicheskikh sredakh [Results of the Control System Approbation in Post-industrial Technological Environments]. Mezhdunarodnyi nauchno-issledovatel’skii zhurnal “Evraziiskii soyuz uchenykh”, 2020, no 10 (79), pp. 16–21. (Seriya: Tekhnicheskie nauki.)

4. Lepskii V.E. Problema sborki sub”ektov v informatsionnykh voinakh [Problem of the Subjects Assembly in Information Wars]. Informatsionnye voiny, 2019, no 4 (52), pp. 2–8.

5. Loginov E.L. Ispol’zovanie tekhnologii BIG DATA dlya protivodeistviya massovym besporyadkam v usloviyakh nedostatka informatsii i neopredelennosti razvitiya situatsii [Using BIG DATA Technologies to Counter Riots in the Face of Lack of Information and Uncertainty of the Situation Development]. Iskusstvennyi intellekt (bol’shie dannye) na sluzhbe politsii: Sb. statei mezhdunarodnoi nauchno-prakticheskoi konferentsii [Artificial Intelligence (Big Data) in the Police Service: Collection of Articles of the International Scientific-practical Conference]. Moscow, Akademiya upravleniya MVD Rossii, 2020, pp. 145–150.

6. Ageev A.I., Loginov E.L., Shkuta A.A. Kitai kak neiroinformatsionnaya megamatritsa: tsifrovye tekhnologii strukturirovaniya kognitivnykh ansamblei poryadka [China as a Neural-Information Megamatrix: Digital Technologies for Structuring Cognitive Ensembles of Order]. Ekonomicheskie strategii, 2021, no 1 (175), pp. 50–61, available at: DOI: https://doi.org/10.33917/es-1.175.2021.50-61.

7. Raikov A.N. Komp’yuternaya podderzhka refleksivnykh protsessov v upravlenii [Computer Support for Reflexive Processes in Management]. Sb. “Psikhologiya i ee prilozheniya” [Psychology and Its Applications]. Ezhegodnik Rossiiskogo psikhologicheskogo obshchestva, 2002, no 1, p. 52.

DOI: https://doi.org/10.33917/es-4.184.2022.46-55

World trend of the XXI century — Industry 4.0 and digital platforms. In 2014, General Electric (GE) partnered with Big Tech giants — AT&T, Cisco, IBM and Intel — to take control of the global manufacturing industry created the Industrial Internet Contributors Association (Industry IoT Consortium IIC). By 2021, the IIC included Microsoft, Hewlett-Packard, Accenture, Huawei, Bosch, EMC, SAP, Siemens, SAS and others. GE together with BigTech created the industrial cloud platform Predix, declaring it to be practically an “operating system” for factories, analogous to Android or iOS in the world of machines, the language of the industrial Internet.

However, in 2020 GE and Predix suffered a devastating fiasco.

The article provides an analysis of the root causes and problems, and formulates the requirements for digital platforms of industrial software. The author describes alternative solutions and new principles for implementing digital transformation of Industry 4.0 based on the closing technologies of digital genesis, graph-centric platforms, tools, models and systems of collective conscious scientifically based balanced management (industrial, corporate, social, state). Closing technologies offered by Russia have got an enormous social and political resource.

DOI: https://doi.org/10.33917/es.2.182.2022.32-38

The article focuses on changes in global markets induced by digitalization of economy that caused new challenges to antimonopoly regulation. In this context, the author considers digital platforms and use of algorithmic pricing by economic entities. The author proposes to delineate between different types of platforms and their classification in platforms — exchanges or trade spots and multisided markets and to assess the impact of both types on competition. The article also considers the use of digital algorithms by entities as a factor of concerted conduct and implicit collusion among the market participants. In this context, the author attempts to assess the influence of humans and algorithms on sustainability of implicit collusion.

Both problems are considered in the context of global scale of entities. It limits possibilities of law enforcement against their monopolistic conduct by national competition authorities, as well as national sovereignty when faced with global corporations. In conclusion, the author stresses the necessity of search of new means of countering monopolization in digital markets

Источники:

1. ICN 2021, available at: https://icn2021budapest.hu/site/#

2. Ageev A.I. Kartina mira [Picture of the World]. Ekonomicheskie strategii, 2019, no 4, p. 5, available at: /wp-content/mag_archive/2019_04/ES2019-04-Slovo.pdf.

3. Howard A. Shelansky. Information, Innovation and Competition Policy for Internet. University of Pennsylvania Law Review, 2013, N 161, pp. 1699–1701.

4. Competition Policy. European Commission. Case AT.39740 Google Search (Shopping), available at: https://ec.europa.eu/competition/elojade/isef/case_details.cfm?proc_code=1_39740.

5. Monopolies Commission: Digital change requires legal adjustments regarding price algorithms, the media sector and the supply of medicines. Monopolkommission, available at: https://perma.cc/QW5S-UB8Z.

6. Transcript of FTC Hearings Session No. 7: Competition and Consumer Protection in the 21st Century — Day 2. U.S. FED. TRADE COMM’N 19-84 (Nov. 14, 2018), available at: https://www.ftc.gov/system/files/documents/public_events/1418693/ftc_hearings_session_7_transcript_day_2_11-14-18_0.pdf.

7. Kai-uwe K hn & Steve Tadelis, Algorithm Collusion. CRESSE, 2017, available at:  http://www.cresse.info/uploadfiles/2017_sps5_pr2.pdf.

DOI: https://doi.org/10.33917/es-2.182.2022.20-31

Artificial intelligence systems (AI) are rapidly becoming a competitive tool, an important factor in improving the efficiency of socioeconomic reproduction, and even an attribute of the development of human civilization, the core of global and national development projects. Comparative assessments of the degree of development of AIS have also become a tool for influencing the economic strategies of states and companies and supporting their implementation. Determining a country’s place in the global “table of ranks” makes it possible not only to clarify its real status in global competition in AIS but also to identify unaccounted for elements to increase the effectiveness of government initiatives in the field of AIS development

Источники:

1. Glava VEF zayavil, chto kovid sleduet rassmatrivat’ kak dolgosrochnyi vyzov dlya chelovechestva [The Head of the WEF Said That Covid Should be Seen as a Long-Term Challenge for Humanity]. TASS, available at: https://tass.ru/obschestvo/13273357.

2. Krichevskii G.E. NBIKS-tekhnologii dlya Mira i Voiny [NBICS Technologies for Peace and War]. Saarbryukken, Germaniya, Lambert, 2017, 634 p.

3. Ovchinnikov V.V. Doroga v mir iskusstvennogo intellekta [Road to the World of Artificial Intelligence]. Moscow, Institut ekonomicheskikh strategii, RUBIN, 2017, 536 p. (Ceriya: Strategicheskaya analitika)

4. Gonka za tsifrovym prizrakom [Chasing the Digital Ghost]. Kommersant, 2019, June, 24, available at: https://www.kommersant.ru/doc/4003879.

5. Kalyaev I.A. Iskusstvennyi intellekt: kamo gryadeshi? [Artificial Intelligence: Whither Goest Thou?]. Ekonomicheskie strategii, 2019, no 5, pp. 6–15, available at: DOI: https://doi.org/10.33917/es-5.163.2019.6-15.

6. Markoff J. A learning advance in artificial intelligence rivals human abilities. The New York Times, 2015, available at: https://www.nytimes.com/2015/12/11/science/an-advance-in-artificial-intelligence-rivals-human-vision-abilities.html.

7. Ageev A.I., Loginov E.L., Shkuta A.A. Kitai kak neiroinformatsionnaya megamatritsa: tsifrovye tekhnologii strukturirovaniya kognitivnykh ansamblei poryadka [China as a Neural-Information Megamatrix: Digital Technologies for Structuring Cognitive Ensembles of Order]. Ekonomicheskie strategii, 2021, no 1, pp. 50–61, available at: DOI: https://doi.org/10.33917/es-1.175.2021.50-61.

8. European approach to artificial intelligence. European Commission, available at: https://digital-strategy.ec.europa.eu/en/policies/european-approach-artificialintelligence.

9. Proposal for a Regulation of the European parliament and of the Council laying down harmonised rules on artificial intelligence (artificial intelligence act) and amending certain union legislative acts. EUR-lex, available at: https://eur-lex.europa.eu/legal-content/EN/TXT/?qid=1623335154975&uri=CELEX%3A52021PC0206.

10. Artificial Intelligence: A European Perspective. European Commission. URL: https://publications.jrc.ec.europa.eu/repository/handle/JRC113826.