DEVELOPMENT OF A MIVAR EXPERT SYSTEM FOR SELECTING A CONSENSUS ALGORITHM FOR DISTRIBUTED LISTS

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Podoprigorova Natalia Sergeevna
Master's Degree, Bauman Moscow State Technical University (BMSTU).
105005, 2nd Baumanskaya str., 5, bld. 1, Moscow, Russia, email n.podoprigorova@icloud.com.
Research interests: artificial intelligence, mivar technologies of logical artificial intelligence, information processing, cybernetics.

Kozyrev Sergey Alexandrovich¹
Master's Degree, Bauman Moscow State Technical University (BMSTU).
105005, 2nd Baumanskaya str., 5, bld. 1, Moscow, Russia, email kozyyrevsa@student.bmstu.ru.
Research interests: artificial intelligence, mivar technologies of logical artificial intelligence, information processing, cybernetics.

Podoprigorova Svetlana Sergeevna¹
Master's Degree, Bauman Moscow State Technical University (BMSTU).
105005, 2nd Baumanskaya str., 5, bld. 1, Moscow, Russia, s.podoprigorova@icloud.com.
Research interests: artificial intelligence, mivar technologies of logical artificial intelligence, information processing, cybernetics.

Baldin Alexander Viktorovich
Doctor of Technical Sciences, Professor; 1) Chief Researcher, JSC "Research Institute of Computing Complexes"; 2) Professor of the Department of Information Processing and Control Systems, BMSTU, Moscow, Russia, email iu5baldin@bmstu.ru.
1) 105005, 2nd Baumanskaya str., 5, bld. 1, Moscow, email iu5baldin@bmstu.ru.
2) 117437, Profsoyuznaya str., 108, Moscow, email iu5baldin@bmstu.ru.
Research interests: artificial intelligence, databases, electronic university, expert systems, logic, mivar technologies of logical artificial intelligence, information processing, decision-making, pattern recognition, natural language understanding, cybernetics, autonomous robotic complexes.

Kotsenko Anton Alexandrovich
Postgraduate Student, Bauman Moscow State Technical University (BMSTU).
105005, 2nd Baumanskaya str., 5, bld. 1, Moscow, Russia, email randeren@mail.ru.
Research interests: artificial intelligence, mivar technologies of logical artificial intelligence, information processing, decision-making, pattern recognition, natural language understanding, cybernetics, autonomous robotic complexes.

Gong Shengshuo
Postgraduate Student, Bauman Moscow State Technical University (BMSTU).
105005, 2nd Baumanskaya str., 5, bld. 1, Moscow, Russia, email hiteyeb@163.com.
Research interests: artificial intelligence, mivar technologies of logical artificial intelligence.

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UDC 004.89 + 007.52
DOI 10.24412/2413-7383-2024-3-126-138
Language: Russian
Annotation: In this paper, a mivar expert system (MES) was created to determine the optimal consensus algorithm in distributed registries for various user situations and their subject areas. A comparison of 23 algorithms was conducted consensus from 6 categories (graph-based, proof-based, weight-based, Byzantine voting-based, non-Byzantine voting-based, randomized). In the process of analyzing existing consensus algorithms, 15 significant selection criteria were identified, including such as scalability, decentralization, throughput ability, energy efficiency, etc. The Wi!Mi Razumator software package serves as the main tool for creating an MES, which allows choosing appropriate consensus algorithms based on user requests. The MES for choosing a consensus algorithm will be useful for distributed ledger developers when choosing the best algorithm from a variety of available options and taking into account the specifics of each subject area.
Keywords: mivar, mivar networks, mivar expert systems, KESMI, Wi!Mi, artificial intelligence, distributed registries, consensus algorithms.

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Release: 4(35)'2024
Chapter: SYSTEM ANALYSIS, CONTROL AND INFORMATION PROCESSING, STATISTICS
How to quote: Podoprigorova N. S. Kozyrev S. A. Podoprigorova S. S. Baldin A. V. Kotsenko A. A. Gong Shenshuo DEVELOPMENT OF A MIVAR EXPERT SYSTEM FOR SELECTING A CONSENSUS ALGORITHM FOR DISTRIBUTED LISTS [Text] / N. S. Podoprigorova S. A. Kozyrev S. S. Podoprigorova A. V. Baldin A. A. Kotsenko Gong Shenshuo // Problems of artificial intelligence. - 2024. № 4 (35). - P. 126-138. - http://paijournal.guiaidn.ru/ru/2024/4(35)-11.html

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