Skip to main content
SpringerLink
Log in

From Tsetlin’s School of Learning Automata towards Artificial Intelligence

  • SCIENTIFIC SCHOOLS OF THE INSTITUTE FOR INFORMATION TRANSMISSION PROBLEMS OF THE RUSSIAN ACADEMY OF SCIENCES (KHARKEVICH INSTITUTE), MOSCOW, THE RUSSIAN FEDERATION
  • Published:
Pattern Recognition and Image Analysis Aims and scope Submit manuscript

Abstract

Though there is a widely spread opinion that Artificial Intelligence had been formulated as an independent science first of all in the United States, where it was supported with computer science, the present paper demonstrates that in Russia, AI development went through the study of some fundamental questions underlying intelligent activity applicable to various scientific and technical fields such as biology, engineering, linguistics, probability, control theory, and many others. The high scientific level of the school of Professor Mikhail Tsetlin is illustrated below via three important problems that confirm the role and the quality of his school at the Lomonosov Moscow State University, aimed towards development creative abilities among students, permitting them to formulate new and extremely promising tasks as a result of their intensive discussion in the main seminars of this school.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5.
Fig. 6.

REFERENCES

  1. V. K. Finn, “Plausible reasoning in JSM-type intelligent systems,” Itogi Nauki Tekhniki 15, 54–98 (1991).

  2. L. I. Kupriyanovich, “Device of call and commutation of radio and telephone communication,” SU Patent No. 115494, (1957).

  3. J. A. McCarthy, Tough Nut Proof Procedures, AI Project Memo No. 16 (Stanford University, 1964).

  4. J. A. McCarthy, “Creative solutions to problems,” in AISB Workshop on Artificial Intelligence and Creativity (1999).

  5. Representation and Meaning: Experiments with Information Processing Systems, Ed. by H. A. Simon and L. Siklossy (Prentice Hall, New Jersey, 1972).

    Google Scholar 

  6. V. L. Stefanyuk, “Example of problem concerning collective actions of two automata,” Avtom. Telemekh. 24 (6), 781–784 (1963).

    Google Scholar 

  7. V. L. Stefanyuk, “On the signal/noise ratio for a channel with additive thermal noise,” Probl. Inf. Transm. 2 (4), 45–52 (1966).

    Google Scholar 

  8. V. L. Stefanyuk, “On the stability of power regulation in radiostation grid,” in 3rd Conf. on the Theory of Transmission and Encoding of Information (Sovet po Kibernetike, Moscow, 1967), pp. 64–71.

  9. V. L. Stefanyuk, “Behavior of automata collective in the problem about power regulation,” Probl. Kibernetiki, No. 20, 131–144 (1968).

  10. V. L. Stefanuk, “Collective behavior of automata and the problem of stable local control of communication network,” Candidate’s Dissertation (Moscow, 1968).

  11. V. L. Stefanuk, “Collective behavior of automata and the problems of stable local control of a large scale system,” in Second Int. Joint Conf. on Artificial Intelligence (London, 1971), pp. 51–56.

  12. V. L. Stefanuk, “Local organization of intelligent systems,” in Models and Applications (Moscow, 1967), p. 328.

  13. V. L. Stefanuk, “On a local approach to representation in problem solving,” in Proc. 3IJCAI (Standford Univ., Stanford, 1973), pp. 612–617.

    Google Scholar 

  14. V. L. Stefanyuk, “To the creative solution of problems,” Vestn. Ross. Fonda Fundam. Issled., 2–3 (2011).

  15. M. L. Tsetlin, “Certain problems in the behavior of finite automata,” Sov. Phys., Dokl. 6, 670–673 (1962).

  16. V. N. Vagin, E. Yu. Golovina, A. A. Zagoryanskaya, and M. V. Fomina, Reliable and Plausible Inference in Intelligent Systems (Fizmatlit, Moscow, 2004).

    Google Scholar 

Download references

Funding

This work was supported by ongoing institutional funding. No additional grants to carry out or direct this particular research were obtained.

Author information

Authors and Affiliations

  1. Institute for Information Transmission Problems of the Russian Academy of Sciences (Kharkevich Institute), 127051, Moscow, Russian Federation

    V. L. Stefanuk

Authors
  1. V. L. Stefanuk
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to V. L. Stefanuk.

Ethics declarations

As author of this work, I declare that I have no conflicts of interest.

Additional information

Vadim L. Stefanuk Doctor of Technical Sciences, Leading Researcher of the IITP RAS graduated from the Faculty of Physics of Lomonosov Moscow State University in 1962 in the Department of Theory of Oscillations of the Department of Radiophysics, with a diploma “Some Problems of the Behavior of Automata,” defended his Candidate’s thesis “Collective Behavior of Automata and the Problem of Stable Local Control of a Radio Communication Network” in 1968. In 1990, he defended his Doctoral dissertation (Dr. Sci.) on the topic “Local Organization of the Expedient Behavior of Technical Systems.”

Concurrently with IITP RAS, Stefanuk is a Professor at the Department of Information Technologies of the Peoples’ Friendship University of Russia, he is an Academician of the Russian Academy of Natural Sciences and a Full Member of the European Coordinating Committee on Artificial Intelligence (Fellow ECCAI/EurAI), and Vice-President of the Russian Association for Artificial Intelligence (RAAI).

He holds two patents, he is the author of two monographs, three textbooks, and 280 publications. He has published translations into the Russian language of 24 books on Artificial Intelligence and its applications.

Publisher’s Note.

Pleiades Publishing remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Stefanuk, V.L. From Tsetlin’s School of Learning Automata towards Artificial Intelligence. Pattern Recognit. Image Anal. 33, 1250–1259 (2023). https://doi.org/10.1134/S1054661823040478

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S1054661823040478

Keywords:

Search

Navigation