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Cybernetics And Systems Analysis
International Theoretical Science Journal
Volume 59 >>> № 5 SEPTEMBER — OCTOBER 2023
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UDC 007+004.8
V.P. Boyun1


1 V.M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kyiv, Ukraine

 vboyun@gmail.com

ON THE CONCEPT AND STRATEGY OF CREATING CYBERNETIC
SYSTEMS WITH ARTIFICIAL INTELLIGENCE

Abstract. The stages of creating systems with artificial intelligence, functional requirements for them, principles of organizing the architecture of cybernetic systems with artificial intelligence, and approaches to the implementation of the components of such a system are considered, in particular the use: of heuristics, of evolutional approach, of the methods of planning experiments, of increments in knowledge, of ontologies for describing and excretion of knowledge from texts, of system analysis for structuring problem, of principles of ring and linear organization of receptive fields of neurons, of typical modes of functioning of the human visual analyzer, of principles of hierarchical management in intellectual channels of perception of information and processing in the brain and their interaction, ability to learn by experience and adaptation.

Keywords: artificial intelligence, cybernetic system, measure of change, dynamic information, heuristics, knowledge gains, evolutionary approaches, ontologies, circular organization of neurons, hierarchical management, ability to learn and adapt.


full text

REFERENCES

  1. Fifth generation computers. Concept, problems, prospects . Moscow: Finance and statistics, 1984. 108 p.

  2. Simons J. Computers of the fifth generation: Computers of the 90s [Russian traslation]. Moscow: Finances and statistics,1985. 173 p.

  3. On the approval of the Concept of the Development of Artificial Intelligence in Ukraine: Decree of the Cabinet of Ministers of Ukraine of 02.12.2020 No. 1556-r. Kyiv. URL: https://zakon.rada.gov.ua/laws/show/1556-2020-%D1%80#Text .

  4. Shevchenko A.I., etc. Regarding the strategy for the development of artificial intelligence in Ukraine for 2022–2030. Artificial Intelligence. 2022. N 1. P. 75–157.

  5. Domingos P. The Master Algorithm: How Machine Learning will Change Our World [Russian translation]. Moscow: Mann, Ivanov and Ferber, 2016. 336 p.

  6. Glushkov V.M. Thinking and cybernetics. Voprosy filosofii. 1963. № 1. P. 36–48.

  7. Boyun V.P. Dynamic Information Theory. Fundamentals and Applications [in Russian]. Kyiv: Publishing House of IC NASU, 2001. 326 p.

  8. Boyun V.P. Bioinspired approaches to the selection and processing of video information. Proc. IEEE Second International Conference on Data Stream Mining & Processing (DSMP) (21-25 August 2018, Lviv, Ukraine). Lviv, 2018. P. 498–502. https://doi.org/10.1109/DSMP.2018.8478541.

  9. Boyun V.P. The issues regarding the organization of the human retina: a cybernetic approach. Cybernetics and Systems Analysis. 2023. Vol. 59, N 1. P. 1–15. "https://doi.org/10.1007/ s10559-023-00537-7 .

  10. Anisimov A.V., Marchenko A.A., Zemlyansky V.R. An evolutionary method for constructing artificial intelligence systems. Kibernetika i sistemnyy analiz. 2019. Vol. 55, № 1. P. 3–13.

  11. Bezsonov O.O. Evolutionary artificial neural networks of direct propagation: architectures, training, applications: autoref. thesis ... Dr. technical science Kharkiv, 2017. 40 p.

  12. Lytvynenko V., WЛjcik W., Fefelov A., Lurie I., Savina N., Voronenko M., Boskin O., Smailova S. Hybrid methods of GMDH-neural networks synthesis and training for solving problems of time series forecasting. In: Lecture Notes in Computational Intelligence and Decision Making. ISDMCI 2019. Advances in Intelligent Systems and Computing. Lytvynenko V., Babichev S., WЛjcik W., Vynokurova O., Vyshemyrskaya S., Radetskaya S. (Eds). Cham: Springer, 2020. Vol. 1020. Р. 513-531.

  13. Boyun V. The principles of organizing the search for an object in an image, tracking an object and the selection of informative features based on the visual perception of a person. In: Data Stream Mining & Processing. DSMP 2020. Communications in Computer and Information Science. Babichev S., Peleshko D., Vynokurova O. (Eds). Cham: Springer, 2020. Vol. 1158. Р. 1–23. https://link.springer.com/chapter/10.1007/978-3-030-61656-4_2.

  14. Boyun V.P., Voznenko L.O., Malkush I.F. Principles of organization of the human eye retina and their use in computer vision systems. Cybernetics and Systems Analysis. 2019. Vol. 55, N 5. P. 701–713. https://doi.org/10.1007/s10559-019-00181-0.

  15. Scientific creativity and heuristics. 7.1. The concept of heuristics briefly. URL: https://intellect.icu/nauchnoe-tvorchestvo-i-evristika-7-1-ponyatie-evristiki-8993.

  16. Tesler G.S. New Cybernetics [in Russian]. Kyiv: Logos, 2004. 404 p.

  17. Vasiliev V.I., Shevchenko A.I. Artificial intelligence: the problem of learning pattern recognition. In book "The Three O Problem". Donetsk: IPII, 1997. 280 p.

  18. Palagin A.V., Kryvyi S.L., Petrenko N.G. Ontological methods and means of subject knowledge processing. Lugansk: Publishing house of V. Dahl VNU, 2012. 324 p.

  19. Nalimov V.V., Chernova N.L. Statistical methods for planning extreme experiments [in Russian]. Moscow: Fizmatgiz, 1965. 340 p.

  20. Nalimov V.V., Golikova T.I. Logical foundations of experiment planning [in Russian]. Moscow: Metallurgy, 1976. 128 p.

  21. Lauinger N. The Human Eye: an Intelligent Optical Sensor (The Inverted Retina: a Diffractive-optical Correlator). Barcelona: International Frequency Sensor Association (IFSA) Publishing, S. L., 2014. 410 p. URL: www.sensorsportal.com/HTML/BOOKSTORE/ Human_Eye.htm .

  22. Posch C., Serrano-Gotarredona T., Linares-Barranco B., Delbruck T. Retinomorphic event-based vision sensors: Bioinspired cameras with spiking output. Proc. IEEE. 2014. Vol. 102, N 10. P. 1470–1484.

  23. Insightness Event-based Sensor Modules. URL: http://www.insightness.com/technology/.

  24. Hubel D. Eye, brain, vision [Russian translation]. M.: Mir, 1990. 239 p.

  25. Nicholls J.G., Martin A.R., Wallas B.J., Fuchs P.A. From neuron to brain [Russian translation]. Moscow: Editorial URSS, 2003. 672 p.

  26. Sechenov I.M. Brain reflexes [in Russian]. M.: Publishing House of the Academy of Medical Sciences of the USSR, 1952. 211 p.

  27. Werblin F., Roska B. The Movies in Our Eyes. Scientific American. 2007. Vol. 296, N 4. P. 72–79.

  28. Boucher Ph. Artificial intelligence: How does it work, why does it matter, and what can we do about it? URL: www.europarl.europa.eu/RegData/etudes/STUD/2020/641547/EPRS_STU(2020)641547_EN.pdf .

  29. Boyun V. Directions of development of intelligent real time video systems. Proc. 2016 IEEE International Conference Radio Electronics and Info Communications (UkrMiCo) (11-16 September 2016, Kyiv, Ukraine). Kyiv, 2016. https://doi.org/10.1109/UkrMiCo.2016.7739640.

  30. James A.P. The why, what and how of artificial general intelligence chip development. IEEE Transactions on Cognitive and Developmental Systems. 2021. Vol. 14, Iss. 2. P. 333–347.




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