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Journal Neurocomputers №4 for 2020 г.
Article in number:
Logical and mathematical foundations of von Neumann – Turing imitation strategy and the problem of neurocomputing definition
Type of article: scientific article
DOI: 10.18127/j19998554-202004-04
Authors:

O. E. Petrunya – Ph.D. (Philos.), Associate Professor, Department of Philosophy of Moscow Aviation Institute (National Research University)

E-mail: hypostasis@yandex.ru

Abstract:

The modern information and communication revolution, which is so much talked about by the mass communication media has a significant drawback. It is associated with the choice as a guide proposed by J. von Neumann and A. Turing imitation strategy for the development of computer science. Despite the fact that neurocomputing started as an independent field of scientific and technical activity, it was involved in this mainstream. The result was many years of stagnation in the industry, blocking analog and bionic approaches as an alternative to digital, speculations on the subject of neuroscience in commercial and other purposes, the growth of social and environmental risks.

The aim of the work is to justify the need for a new definition of neurocomputing and classification in the industry.

The causes of erroneous understanding of neurocomputing have been revealed. Semantic analysis of the term and preliminary demarcation procedures have been carried out.

The results can be used as a conceptual basis for discussion and formulation of neurocomputing development strategy, development of fruitful research programs in the industry, formulation and solution of theoretical and methodological problems.

Pages: 19-27
For citation

Petrunya O.E. Logical and mathematical foundations of von Neumann – Turing imitation strategy and the problem of neurocomputing definition. Neurocomputers. 2020. Vol. 22. No. 4. P. 19–27. DOI: 10.18127/j19998554-202004-04. (in Russian)

References
  1. Alekseev A.Yu. Kompleksnyj test T'yuringa: filosofsko-metodologicheskie i sotsiokul'turnye aspekty. M.: IInteLL. 2013. (in Russian)
  2. Biryukov B.V., Trostnikov V.N. Zhar kholodnykh chisl i pafos besstrastnoj logiki. Formalizatsiya myshleniya ot antichnykh vremen do epokhi kibernetiki. Izd. 3-e, pererab. i dop. M.: Editorial URSS. 2004. (in Russian)
  3. Fon Nejman Dzh. Obshchaya i logicheskaya teoriya avtomatov. V kn.: T'yuring A. Mozhet li mashina myslit'? Per. s angl. M.: Gosudarstvennoe izdatel'stvo fiziko-matematicheskoj literatury. 1960. S. 39–65. (in Russian)
  4. Petrunya O.E. Aktual'nye problemy informatsionnogo podkhoda v biomeditsine. Biomeditsinskaya radioelektronika. 2017. № 10. S. 82–84. (in Russian)
  5. Petrunya O.E. Kontroverza estestvennogo i iskusstvennogo v nejronaukakh: «kto vinovat» i «chto delat'». Nejrokomp'yutery: razrabotka, primenenie. 2017. № 4. S. 26–30. (in Russian)
  6. Post E.L. Finitnye kombinatornye protsessy, formulirovka 1. V kn.: Uspenskij V.A. Mashina Posta. Izd. 2-e, ispr. M.: Nauka. Gl. red. fiz.-mat. lit. 1988. (in Russian)
  7. Puankare A. Matematika i logika. V kn.: Puankare A., Kutyura L. Matematika i logika: Per. s fr. M.: Izdatel'stvo LKI. 2018. (in Russian)
  8. Svintsitskij V.N. K voprosu o geneticheskoj svyazi kibernetiki s klassicheskoj avtomatikoj. Kibernetika, myshlenie, zhizn'. Pod red. A.I. Berga, B.V. Biryukova, I.B. Novika, I.V. Kuznetsova, A.G. Spirkina. M.: Izdatel'stvo sotsial'no-ekonomicheskoj literatury «Mysl'». 1964. (in Russian)
  9. Shenfild Dzh. Matematicheskaya logika: Per. s angl. I.A. Lavrova i I.A. Mal'tseva. Pod red. Yu.L. Ershova. M.: Nauka. 1975. (in Russian)
  10. Yanovskaya S.A. Predislovie k russkomu perevodu. V kn.: T'yuring A. Mozhet li mashina myslit'? Per. s angl. M.: Gosudarstvennoe izdatel'stvo fiziko-matematicheskoj literatury. 1960. S. 3–11. (in Russian)
  11. Turing A. Computing machinery and intelligence. Mind. October. 1950. V. LIX (236). P. 433–460.
  12. Turing A. On computable numbers, with an application to the Entscheidungsproblem. Proceedings of the London Mathematical Society. 1937. V. 42. P. 230–265.
  13. Savelyev A. Mysterious efficiency of mathematics: comprehension of incomprehensible. XX World Congress of Philosophy: Philosophy of Law. Paideia. Boston, Massachusetts. August 10–15, 1998. URL: http://www.bu.edu/wcp/
  14. Savelyev A.V. Geometry brain fine structure model. 24-j Vsemirnyj matematicheskij kongress. Kitaj, Pekin. 20–28 avgusta 2002.
  15. Savelyev A.V. Mysterious efficiency of mathematics. International Congress of Mathematicians. Madrid, Spain. 2005. Section 17.
  16. Lomova J.J., Savelyev A.V. Pythagorean syndrome and numerical nature of information. Sb. trudov I Vsesibir. kongressa zhenshchin-matematikov. Krasnoyarsk, 2000. S. 123–124.
  17. Von Neumann J. The general and logical theory of automata. In: Cerebral Mechanisms in Behavior. L.A. Jeffress, ed. The Hixon Symposium. N.Y.: John Wiley & Sons. 1951. P. 1–31.
  18. Markov A.A. Ischislenie konechnykh raznostej. Izd. 2-e. M.: Mathesis. 1910. (in Russian)
  19. Von Neumann J. Theory of self-reproducing automata. A.W. Burks, ed. University of Illinois Press. 1966.
  20. Kutejnikov A.V. Pervye proekty avtomatizatsii upravleniya sovetskoj planovoj ekonomikoj v kontse 1950-kh i nachale 1960-kh gg. – «elektronnyj sotsializm»?. Sb. «Ekonomicheskaya istoriya. Obozrenie». 2011. Vyp. 15. S. 124–138. [Elektronnyj resurs]. URL: https://statehistory.ru/5695/Pervye-proekty-avtomatizatsii-upravleniya-sovetskoy-planovoy-ekonomikoy-v-kontse-1950-khi-nachale-1960-kh-gg/ (in Russian)
  21. Leshchev S.V. Intersub''ektivnost' i kommunikativnoe dejstvie (Neokantianstvo i postmodernizm pragmatiki Yu. Khabermasa). Voprosy filosofii. 2013. № 3. S. 165–176.
  22. Glushkov V.M. Sintez tsifrovykh avtomatov. M.: GIFML. 1962. (in Russian)
Date of receipt: 18 августа 2020 г.