The twentieth century science paradoxes

Authors

DOI:

https://doi.org/10.32347/tit2021.42.0303

Keywords:

axiomatic modeling, artificial intelligence, mathematical logic, thinking, formalization

Abstract

The isolation of hypothetical theories from the realities of living matter has caused mysticism to penetrate scientific theories. With mystical thinking, the idea of using an analytical method to solve cognitive problems does not occur. Dialectical logic, in contrast to mysticism, states the opposite: any problematic tasks of cognizing the vital processes and phenomena of the universe are solvable exclusively in an analytic way, with the only method. The author created a universal and formal theory of solving intellectual (i.e., having no previously known algorithms for solving) problems associated with the knowledge of the vital functions of natural and man-made processes in any phenomena of the universe - the Kondratenko method of axiomatic modeling, the effectiveness of which is achieved by correctly setting the problem and solving it purely formal method. The correctness of the statement of the problem means, first of all, the recognition of the failure of all hypothetical (not confirmed by the results of full-scale experimentation with the subject of knowledge) theories. This requirement, in particular, to the mathematical tools used to solve problems of cognition, it revealed paradoxes in the foundations of mathematics, which are discussed in the article.

At present, in the natural and applied sciences in most publications, i.e. more than 90% associated with the construction of formal theories in these sciences, the proof of theorems is carried out:

firstly, in a meaningful way, which contradicts the urgent requirement of philosophers of science to use exclusively formal evidence, which is a criterion for assessing the correctness and reliability of evidence;

secondly, in substantive evidence in 95% of cases, an exclusively standard list of tautologies is used, which by definition is incorrect for the purpose of proving theorems on phenomena and processes of the universe based on exclusively true axioms obtained as a result of full-scale experimentation with these phenomena and processes. The article deals with the paradox in the classical approach to proving theorems, which consists in the inappropriateness of generally accepted stereotypical tautologies of classical mathematics for proving theorems.

References

Kondratenko V.A., 2015. Paradoxes of science of the twentieth century. The twenty first century – dialectic logic against mysticism, Kyiv, Scientific publication Zadruga, 200 (in Russian).

Kondratenko V.A., 2014. A living matter in an image of formal models (From physiological heredity to intelligence with its assets). The collection of articles of the author, Kyiv, Scientific publication of LLC, Yunik Print, 186 (in Russian).

Kondratenko V.A., 2010. Creation of a uni-form stereotype of a logical design of thinking for the substantial and formal proof of theorems. Kyiv Scientific publication of Alephof, 267 (in Russian).

Kondratenko V.A., 2017. Artificial intelligence. A plan and realities of the current time against the background of natural intelligence of the person. Kyiv, Scientific publi-cation Zadruga, 84 (in Russian).

Lyalkina G.B., 2012. Mathematical foundations of decision theory. Ed. V.A.Trefilova. Guidance. Perm, Perm Publishing House. Polytechnic University, 118 (in Russian).

Anokhin P.K., 1998. Chosen works. Cybernetics of functional systems. Moscow, Medicine, 400 (in Russian).

Agadzhanyan N.A. Tel L.Z., Tsirkin V.I., Chesnokova S.A., 2003. Human physiology. (The textbook for medical higher education institutions), under the editorship of the academician of the Russian Academy of Medical Science Agadzhanyan and professor N.A. Tsirkin, the Medical book, N. Novgo-rod, NGMA Publishing house, 408 (in Russian).

Petro Kulikov, Mykhailo Sukach, 2015. About readiness of Ukraine to mastering minerals of world ocean. Underwater Tech-nologies, Iss.02, 3-10 (in Russian).

Nikolay Zhuk, Myron Nazarian, Yury Stelmakhov, 2015. Great Silk Road: modern problems of reconstruction. Underwater Technologies, Iss.01, 59-64 (in Russian).

Andrey Tevyashev, 2018. Information and analytical technology for optimal management of sustainable development and functioning of water supply systems. New horizon of underwater explorations. Under-water Technologies, Iss.08, 47-49 (in Russian).

Kobylyanu G.N., Grischenkov E.N., Kuznetsov V.I., Mansur T.I., 2017. Emergency cardiological care in general medical practice: a training manual. RUDN, 77 (in Russian).

Kondratenko V.A., 2016. Dialectic logic of management of the autonomic nervous system of the person. Computer mathematics, No.1, 125-133 (in Russian).

Kondratenko VA, 2011. Quantum physics without the geometrization of physical models of the universe, a priori free of hypothetical and incorrect formalisms. Kyiv: Scientific publication "Aleph", 107 (in Russian).

Castells M., 2004. Information Technologies, Globalization and Social Development. Кyiv, Еkonomika znan: vyкlyкy globalizacii i Ukraina, 83-87 (in Ukrainian).

Maksimov V.I., Kornoushenko E.K., Kachaev S.V., 1999. Cognitive technologies to support management decision making. Moscow, Informacionnoe obshchestvo, No.2, 50-57 (in Russian).

Li Endryu, 2016. Information – Overcoming Uncertainty. M., Sb.: Teorii vsego na svete. Pod red. Dzhona Brokmana, «Binom»; Laboratoriya znaniy, 162-163 (in Russian).

Luger J.F., 2003. Artificial Intelligence: Strategies and Methods for Solving Complex Problems. 4nd ed. In Russian translated from English. Moscow, Vil'yams, 864.

McLuhan Marshall, 1964. Understanding media: the extensions of man. New York, McGraw-Hill, 359.

Newell A., Simon H. A., 1972. Human problem-solving. New York, Englewood Cliffs, Prentice-Hall, 154.

Okinawan Charter for a Global Infor-mation Society, 2000. Moscow, Infor-macionnoe obshchestvo, No.4, 53-57 (in Russian).

Preston D., 2014. Some Ontology of Interactive Art. Philosophe and Technology, Vol.27, No.2, 267-278.

Sukach M., 2015. First international scientifically-practical conference Underwater technologies, 2015. Kyiv, Underwater Technologies, Vol.01, 3-12 (in Ukrainian).

Turing A.M., 1950. Computing Machinery and Intelligence. Source: Mind, New Series, Vol.59, No.236 (Oct.), 433-460.

Zenkin A.A., 1996. Knowledge-generating technologies of cognitive reality. Moscow, Novosti Iskustvennogo Intellekta, No.2, 72-78 (in Russian).

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Published

2021-10-29

How to Cite

Kondratenko, V. . (2021). The twentieth century science paradoxes. International Scientific Journal "Transfer of Innovative Technologies", 4(2), 90–95. https://doi.org/10.32347/tit2021.42.0303

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Section

Information Technology