PRINCIPLE OF THE TOTAL ORGANIZATION OF INTELLECTUAL SYSTEMS

Серій Ілліч Доценко

Abstract


The antinomy of the division of the intellectual system into parts has been formed, namely: the intellectual system is an organized whole, which is formed from at least two parts; for an intelligent system, as an organized whole, it is impossible to divide into a controlling part (control system) and a part of which is controlled. It has been established that the antinomy of dividing an intelligent system into parts is generated by the fact that, traditionally, the control system and the control object are considered separately. Therefore, it is considered the system, and not an organized whole. The role of the theory of functional systems in the development of cybernetic systems as intellectual systems is defined. This theory is the basis for the development of intelligent systems A. V. Chechkinim, K. A. Pupkov, and other authors. On the other hand, M. I. Meltzer develops the theory of dialogue systems for managing production enterprises, the basis of which is the mathematical theory of systems. It is shown that the functional representation architectures for these systems are similar. The similarity is determined on the basis of the task approach. On the one hand, there is a mutual non-recognition of the results of scientific schools of physical and technical cybernetics, and on the other hand, there is a similarity of the results obtained. It has been established that the methodological basis of the holistic approach is the task approach to the formation of a solving system, developed in the theory of dialogue management of production. To do this, it is necessary to include the “Activity to get the result” block in the solving system in order to turn it into an intellectual system. The methodological basis of a systems approach is a functional approach to the formation of systems. The main lesson of the classical cybernetics crisis, regarding the organizational principle for two parts of an organized whole, is to establish a dialectical unity of concepts in the form of a “general” concept and a “concrete” concept for problem-solving results in the control system and control object. Thus, a dialectically organized whole is formed. The article also analyzes the impact of the study of intelligent systems on the development of the methodological foundations of the Industry 4.0 platform. The next task that needs to be solved is the formation of the principle of functional self-organization, which is the basis for the formation of a mechanism for ensuring consistency between the results of solving problems in parts of a dialectically organized whole

Keywords


cybernetics; organization; self-organization; hypothesis; contradictions

References


Dotsenko, S. I. Uroky kryzy klasychnoyi kibernetyky: prychyny ta sutnist' [Lessons from the crisis of classical cybernetics: causes and essence]. Radioelektronni i komp'uterni sistemi - Radioelectronic and computer systems, 2018, no. 4(88), рр. 4–16.

Bertalanfi, L. Fon. Obshchaya teoriya sistem – kriticheskii obzor. Issledovaniya po obshchei teorii sistem [General systems theory – a critical review. Research on the general theory of systems]. Sbornik perevodov. Obshch. red. i vstup. stat'ya V. N. Sadovskogo i E. G. Yudina, Moscow, Progress Publ, 1969, pp. 29.

Anokhin, P. K. Printsipial'nye voprosy obshchei teorii funktsional'nykh sistem [Principal issues of the general theory of functional systems]. V kn. Ocherki po fiziologii funktsional'nykh sistem [In the book Essays on the physiology of functional systems]. Moscow, Meditsina Publ., 1975, pp. 17–62.

Lyapunov A. A. O stroenii upravlyayushchikh sistem zhivoi prirody [On the structure of wildlife control systems] V kn. Kibernetika myshlenie zhizn' [In the book. Cybernetics thinking life]. Moscow, Mysl' Publ., 1964, pp. 179.

Konspekt knigi Lassalya «Filosofiya Geraklita Temnogo iz Efesa» 1915 ili 1916 g. Bern. [The abstract of Lassalle's book The Philosophy of Dark Heraclitus of Ephesus, 1915 or 1916, Bern.]. V. I. Lenin Filosofskie tertadi. pod red. V.V. Adoratskogo i V.G. Sorina. Izdatel'stvo TsK VKP (b), 1934, pp. 309–322, pp. 318.

Spinoza, B. Traktat ob usovershenstvovanii razuma i puti, kotorym luchshe vsego napravlyat'sya k istinnomu poznaniyu veshchei [A treatise on the improvement of the mind and the way in which it is best to be guided towards .true knowledge of things]. Seriya «Vydayushchiesya mysliteli», Rostov-on-Don, Feniks Publ., 1998. 608 p.

Gegel', G. V. F. Nauka logiki. Pervaya chast' Ob"ektivnaya logika. Vtoraya chast' Sub"ektivnaya logika [Science of logic. The first part of the objective logic. The second part of the subjective logic]. St. Petersburg. Nauka Publ., 1997. 800 p.

Gegel', G. V. F. Sistema nauk. Chast' pervaya. Fenomenologiya dukha [System of Sciences. Part one. Phenomenology of the Spirit]. Sochineniya tom IV. Moscow, Izd. sots-ekon. lit. Publ., 1959, pp. 10.

Kagan, M. S. Sistemnost' i tselostnost' [Consistency and integrity]. Available at: http://psylib.kiev.ua/ (accessed 01.12.2018).

Dotsenko, S. І. Metodologіya tsіlіsnogo pіdkhodu do doslіdzhennya іntelektual'nikh sistem: antinomії tsіlіsnostі [Methodology of a combined approach to a further integrated systems: antinomial systems]. Іnformatsіino-keruyuchі sistemi na zalіz¬nichnomu transportі, 2017, no. 4 (dodatok), pp. 39-40.

Chechkin, A. V. Slabo formal'nye sistemy [Weakly formal systems]. Intellektual'nye sistemy, Moscow, MGU Publ., 2007, vol. 11, no. 1-4, pp. 137–158. Available at: http://www.intsys.msu.ru/magazine/archive/v11(1-4)/chechkin-137-158.pdf. (accessed 01.12.2018).

Mel'tser, M. I. Dialogovoe upravlenie proizvodstvom (modeli i algoritmy) [Interactive production management (models and algorithms)]. Moscow, Finansy i statistika Publ., 1983. 240 p.

Larichev, O. I., Petrovskii, A. B. Sistemy podderzhki prinyatiya reshenii. Sovremennoe sostoyanie i perspektivy ikh razvitiya. [Decision support systems. The current state and prospects for their development.]. Itogi nauki i tekhniki. Ser. Tekhnicheskaya kibernetika, Moscow, VINITI Publ., 1987, vol. 21, pp. 131-164.

Sudakov, K. V. Sistemokvanty fiziologicheskikh protsessov [Sistemokvanta physiological processes]. Moscow, Mezhdunarodnyi gumanitarnyi fond armenovedeniya im. akademika Ts. P. Agayana Publ., 1997. 152 p.

Chechkin, A. V. Slaboformal'nye sistemy diskretnoi matematiki [Weakly formal systems of discrete mathematics]. Informatizatsiya upravleniya, Moscow, MO RF, 2003, pp. 34–41.

Prokopchuk, Yu. A. Kognitivnaya model' deyatel'nosti [Cognitive activity model]. Іnduktivne modelyuvannya skladnikh sistem, 2012, no. 4, pp. 177–188.

Pupkov, K. A., Kon'kov, V. G. Intellektual'nye sistemy (Issledovanie i sozdanie) Ucheb. posobie [Intelligent Systems (Research and Creation)]. Moscow, Izd-vo MGTU im. N.E. Baumana Publ., 2001. 194 p.

Volkova, V. N., Voronkov, V. A., Denisov, A. A. i dr. Teoriya sistem i metody sistemnogo analiza v upravlenii i svyazi [Systems theory and systems analysis methods in management and communication]. Moskov. Radio i svyaz', 1983. 248 p.

Dotsenko, S. I. Teoretychni osnovy stvorennya intelektual'nykh system komp"yuternoyi pidtrymky rishen' pry upravlinni enerhozberezhennyam orhanizatsiy. dys. dokt. tekhn. nauk [Theoretical foundations of creation of intellectual systems of computer support of decisions at management of energy saving of organizations. Dr. eng. sci. diss.]. Kharkiv, 2017. 369 p.

Eshbi, U. Ross. Vvedenie v kibernetiku [Introduction to Cybernetics]. Moscow, Izdatel'stvo Inostrannoi literatury Publ., 1959. 432 p.

Gergei, T. Teoremy ob adekvatnosti ob"ekta [Object adequacy theorems]. Avtomatika, 1967, no. 4, pp. 23–30.

Ivakhnenko, A. G. Samoobuchayushchiesya sistemy raspoznavaniya i avtomaticheskogo upravleniya [Self-learning recognition and automatic control systems]. Kiev, Tekhnika Publ., 1969. 392 p.

Mesarovich, M., Takakhara, Ya. Obshchaya teoriya sistem: matematicheskie osnovy [General Systems Theory: Mathematical Foundations]. Moscow, Mir Publ., 1978. 311 p.

Nadin, Mihai. Anticipation: Learning from the Past: The Russian/Soviet Contributions to the Science of Anticipation. Cognitive Systems Monographs (Book 25). Springer, 2015, pp. 505-514.

Anokhin, P. K. Biology and Neurophysiology of the Conditioned Reflex and its Role in Adaptive Behavior. Pergamon Press Publ., Oxford, 1974. Doi: 10.1016/C2013-0-02871-X.

Sudakov, K. V. To the Centenary of P. K. Anokhin, a Great Russian Physiologist. Integr. Physiol, and Behav. Sci., 1998, no. 33, pp. 171-175.

Red'ko, V. G., Prokhorov, D. V., Burtsev, M. S. Theory of Functional Systems, Adaptive Critics and Neural Networks. In Proceedings of International Joint Conference on Neural Networks, Budapest, 2004, pp. 1787-1792.

Sgurev, V., Hadjiski, M. (Eds) Intelligent Systems: From Theory to Practice. Studies in Computational Intelligence, Springer-Verlag Berlin Heidelberg, 2010, vol. 299, pp. 397-415.

Petkov, N., Strisciuglio, N., Carlos, M., Travieso-Gonzalez, C. M. (Eds) Applications of Intelligent Systems Proceedings of the 1st International APPIS Conference 2018, IOS Press Publ., Amsterdam, Berlin, Washington, DC, vol. 310. 368 p.

Nebot, A., Binefa, X., Lopez de Mantaras, R. (Eds) Artificial Intelligence Research and Development Proceedings of the 19th International Conference of the Catalan Association for Artificial Intelligence, Barcelona, Catalonia, Spain, October 19-21, 2016. MA-CSIC. IOS Press Publ., Amsterdam, Berlin, Washington, DC. vol. 288. 420 p.

Kaminka, Gal A., Fox, M., Bouquet, P., Hüllermeier, E., Dignum, V., Dignum, F., Harmelen, F. (Eds) ECAI 2016: 22nd European Conference on Artificial Intelligence 29 August –2 September 2016, The Hague, The Netherlands Including Prestigious Applications of Artificial Intelligence (PAIS 2016). Part 1-2. Organized by the European Association for Artificial Intelligence (EurAI) and the Benelux Association for Artificial, IOS Press, 2016. 1860 p.

The Reference Architectural Model RAMI 4.0 and the Industrie 4.0 Component. Available at: https://www.zvei.org/en/subjects/industry-4-0/the-reference-architectural-model-rami-40-and-the-industrie-40-component/ (accessed 12.12.2018).




DOI: https://doi.org/10.32620/reks.2019.1.01

Refbacks

  • There are currently no refbacks.