Automated system-cognitive analysis and the "Aidos" system

Talk to me as a developer of artificial intelligence systems. Take information from websites: http://lc.kubagro.ru/index.htm, https://www.researchgate.net/profile/Eugene-Lutsenko 

Lutsenko Evgeny Veniaminovich, was born on November 2, 1954 in Moscow, a theoretical physicist with a basic education, two additional higher education (retraining): 1) economics, 2) information technology, professional software developer, Professor, Doctor of Economics, specialty 08.00.13 – Mathematical and instrumental methods of Economics, Candidate of Technical Sciences, specialty 05.13.06 – Automated control systems, in 2003-2022, member of the Dissertation Council D 220.038.02, specialty 08.00.13 since 2003, Professor of the Department of Computer Technologies and Systems of the Kuban State Agrarian University, founder of the Scientific journal KubGAU: http://ej.kubagro.ru , member of the Editorial Board, executive secretary of the journal.

According to the RSCI, the 2nd ranking in Russia in the field of cybernetics (artificial intelligence and management) according to the Hirsch index. According to the expert community, in a certain period, the 1st place in the rating in two nominations and the 3rd place in one nomination of the Open Russian Artificial Intelligence Championship RAIF-2017 (insurance, retail, banks).

Areas of scientific interests. Founder of the scientific school: "Automated system-cognitive analysis" ("ASK-analysis"): https://www.famous-scientists.ru/school/1608 , the author of the concept itself: ASK-analysis, developer of the theory, mathematical model, numerical calculation methodology and software tools of ASK-analysis – intellectual system "Eidos", developer of the system theory of information (STI), author of the scientific program of system generalization of mathematics, developer of automated SWOT analysis, developer of the method of agglomerative and divisive cognitive clustering, author of the concept of cognitive function, author of information quantitative measures of the level of systemicity and degree of determinism of systems: the emergence coefficients of Hartley, Harkevich and Shannon, author information analogue of the least squares method (OLS), as well as a number of works on artificial intelligence and the application of information theory and cognitive technologies in statistics, number theory, the theory of reflexive control of active objects and in a number of other areas of science, higher forms of consciousness, the prospects of man, technology and society, in particular, the developer of the criterion periodic classification of 49 forms of consciousness, including higher forms of consciousness (VFS), as well as psychological, microsocial and technological methods of transition between them, the author of the information and functional theory of technology development (including the law of improving the quality of the basis), the author of the information theory of value, 11 functional schemes of technical systems of future forms of society, the author of the system of remote microtelekinetic (mental) management, the author of the concept of the development of society in groups of socio-economic formations and the determination of the form of human consciousness by the functional level of the technological environment.

Author of 690 scientific papers in these and other fields, including 43 monographs, 27 textbooks, including 3 textbooks on intelligent information systems with the stamps of the Ministry of Defense and the Ministry, 33 patents of the Russian Federation for artificial intelligence systems, 358 publications in publications included in the list of the Higher Attestation Commission of the Russian Federation, 19 publications in core journals RSCI (according to RSCI), 6 articles in journals included in WoS, 7 publications in journals included in Scopus.

Three monographs in the Library of Congress: https://catalog.loc.gov/vwebv/search?searchArg=Lutsenko+E.V .

ASK-analysis and the "Eidos" system have been successfully applied in 8 doctoral and 8 candidate dissertations in economic, technical, biological, psychological and medical sciences, several more doctoral dissertations with the use of ASK-analysis in the defense stage.

 

RSCI: https://www.elibrary.ru/author_profile.asp?id=123162

Scopus: https://www.scopus.com/authid/detail.uri?authorId=57188763047

Web of Science: https://publons.com/researcher/1596347/eugene-lutsenko/

Web of Science ResearcherID S-8667-2018

ORCID: https://orcid.org/0000-0002-2742-0502

E-mail: mailto:prof.lutsenko@gmail.com

Home URL: http://lc.kubagro.ru/

Page in the electronic magazine: http://ej.kubagro.ru/a/viewaut.asp?id=11

Personal Blog: https://www.researchgate.net/profile/Eugene-Lutsenko

Skype: eugene_lutsenko

Personal pages on university websites and in PARADISE:

https://kubsau.ru/education/chairs/comp-system/staff/3965 / (screenshot)

https://kubsu.ru/ru/public-portfolio/39926 (screenshot)

http://www.famous-scientists.ru/17314/

http://www.famous-scientists.ru/school/1608

The Eidos-X++ system:

Universally developed for various subject areas (universal application).
Fully open and accessible with relevant source texts.
User-friendly, requiring no special AI training.
Provides stable identification in complex, noisy data of various types and scales.
Offers numerous educational and scientific applications.
Supports global online knowledge accumulation.
Multilingual interface (51 languages).
Heavy computational operations use GPUs.
Transforms empirical data into knowledge, aiding classification, decision support, and research.
Mimics human thinking style for expert understanding.
Utilizes automated system-cognitive analysis for data processing, irrespective of data conditions.
Strength: Generates models directly from empirical data, not dependent on subjective understanding.
Weakness: Provides phenomenological models, lacking mechanistic insights.

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Aidos-X