The twentieth century science paradoxes
DOI:
https://doi.org/10.32347/tit2021.42.0303Keywords:
axiomatic modeling, artificial intelligence, mathematical logic, thinking, formalizationAbstract
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).
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 Victoria Kondratenko
This work is licensed under a Creative Commons Attribution 4.0 International License.
Our journal abides by the CREATIVE COMMONS copyright rights and permissions for open access journals.
Authors, who are published in this journal, agree to the following conditions:
1. The authors reserve the right to authorship of the work and pass the first publication right of this work to the journal under the terms of a Creative Commons Attribution License, which allows others to freely distribute the published research with the obligatory reference to the authors of the original work and the first publication of the work in this journal.
2. The authors have the right to conclude separate supplement agreements that relate to non-exclusive work distribution in the form in which it has been published by the journal (for example, to upload the work to the online storage of the journal or publish it as part of a monograph), provided that the reference to the first publication of the work in this journal is included.