Multi-Valued Logics as an Advanced Basis for Artificial Intelligence (As an Example of Applied Philosophy)

Authors

  • Oleg GABRIELYAN V. I. Vernadsky Crimean Federal University
  • Elizaveta VITULYOVA Almaty University of Power Engineering and Telecommunications after Gumarbek Daukeyev (AUPET)
  • Ibragim SULEIMENOV V. I. Vernadsky Crimean Federal University (Russia)

DOI:

https://doi.org/10.24231/wisdom.v21i1.721

Keywords:

Artificial intelligence, multivalued logic, informational self-organization, Galois fields, law of the excluded middle, bureaucracy, transpersonal structures

Abstract

It is shown that the creation of artificial intelligence systems, gradually approaching human intelligence, cannot be limited by binary logic and the classical interpretation of the category of truth. The nature of human thinking is variable, which requires the use of flexible algorithmic platforms that operate with multivalued logic. It is shown that the existing approaches to the interpretation of the essence of intelligence, going back to the Turing test, are not consistent. More adequate is a criterion built on the ability of the intellect to lie, including creative particulars. It is shown that using multi-valued logic is a promising tool for constructing the algorithmic basis of artificial intelligence. It is shown that the use of just such logic is of interest from the point of view of studying self-organization processes in a telecommunication environment, resulting in the appearance of “spontaneous intelligence”, too. An analogue of such intelligence, for example, is the phenomenon of bureaucracy. It is shown that the question of the essence of the intellect is a prerequisite for the further development of non-trivial logical systems since the functioning of the intellect cannot be reduced to the operations of classical formal logic.

Downloads

Download data is not yet available.

Author Biographies

Oleg GABRIELYAN, V. I. Vernadsky Crimean Federal University

PhD, Dr. of Science in Philosophy, Professor of the V. I. Vernadsky Crimean Federal University; Dean of the Department of Philosophy (Republic of Crimea, RF). Areas of interest include social and political philosophy, cultural studies, history and philosophy of science. He is the co-author of 18 monographs and more than 150 scientific articles. Recent publications: “Algorithmic Basis of Battle Neural Networks and Crisis Phenomena In Modern Society”, “Objectified Formulation of a Search Query for an Intellectualized System of Monitoring Internet Memes”, “Artificial Intelligence: what is it?”, “Mythopoetics of the Culture: the Research Methodology Issue”.

Elizaveta VITULYOVA, Almaty University of Power Engineering and Telecommunications after Gumarbek Daukeyev (AUPET)

PhD in Radio Engineering, Electronics and Telecommunications, Senior Lecturer of the Department of Radio Engineering, Electronics and Telecommunications of the Almaty University of Power Engineering and Telecommunications (Kazakhstan). Her areas of interest include logic, theory of science, radio engineering, electronics and telecommunications, and critical thinking. Vitulyova is the co-author of 8 monographs and more than 75 scientific articles. Recent publications: “Distributed Memory of Neural Networks and the Problem of the Intelligence`S Essence”, “New Application of Non-Binary Galois fields Fourier Transform: Digital Analog of Convolution Theorem”, “Dialectical Understanding of Information in the Context of the Artificial Intelligence Problems”.

Ibragim SULEIMENOV, V. I. Vernadsky Crimean Federal University (Russia)

PhD in Physics, Dr. of Science in Chemistry, Professor of V. I. Vernadsky Crimean Federal University (Russia). His areas of interest include logic, theory of science, history of scientific philosophy, radio engineering, electronics and telecommunications, and critical thinking, general problems of evolution. I. Suleiemnov is the author of 24 monographs and 235 scientific articles. Recent publications: “Distributed memory of Neural Networks and the Problem of the Intelligence`S Essence”, “New application of Non-Binary Galois fields Fourier Transform: Digital Analog of Convolution Theorem”, “Dialectical Understanding of Information in the Context of the Artificial Intelligence Problems”.

References

Abe, J. M., Nakamatsu, K., & da Silva Filho, J. I. (2019). Three decades of paraconsistent annotated logics: A review paper on some applications. Procedia Computer Science, 159, 1175-1181.

Bakirov, A. S., Vitulyova, Y. S., Zotkin, A. A., & Suleimenov, I. E. (2021). Internet usersí behavior from the standpoint of the neural network theory of society: prerequisites for the meta-education concept formation Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4/W5-2021, 83-90. https://doi.org/10.5194/isprs-archives-XLVI-4-W5-2021-83-2021

Bofill, M., Manya, F., Vidal, A., & Villaret, M. (2019). New complexity results for £ukasiewicz logic. Soft Computing, 23(7), 2187-2197.

Caret, C. (2017). Hybridized paracomplete and paraconsistent logics. The Australasian Journal of Logic, 14(1), 281-325.

Chen, J., & Burgess, P. (2018). The boundaries of legal personhood: How spontaneous intelligence can problematise differences between humans, artificial intelligence, companies and animals. Artificial Intelligence and Law, 27, 73-92. https://doi.org/10.1007/s10506-018-9229-x

Chernavskii, D. S. (2000). The origin of life and thinking from the viewpoint of modern physics. Physics-Uspekhi, 43(2), 151-176.

Eliade, M. (2021). The myth of the eternal return. Cosmos and history. Princeton University Press.

Kalimoldayev, M. N., Pak, I. T., Baipakbayeva, S. T., Mun, G. A., Shaltykova, D. B., & Suleimenov, I. E. (2018). Methodological basis for the development strategy of artificial intelligence systems in the Republic of Kazakhstan. News of the National Academy of Sciences of the Republic of the Kazakhstan ñ Series of Geology and Technical Sciences, 6, 47-54.

Karpenko, A. S. (2003). Sovremennye issledovaniya v filosofskoj logike (Contemporary research in philosophical logic, in Russian). Voprosy filosofii (Questions of Philosophy, in Russian), 9, 54-75.

Kulik, B. A. (2007). N-tuple algebra-based probabilistic logic. Journal of Computer and Systems Sciences International, 46(1), 111-120.

LÈvy-Bruhl, L. (1963). Le surnaturel et la nature dans la mentalitÈ primitive (The supernatural and nature in the primitive mentality, in French). Presses universitaires de France.

Maksimov, Yu. D. (2016). Logika N. A. Vasilíeva i mnogoznachnye logiki (Logic of N. A. Vasiliev and multivalued logics, in Russian). Logicheskie issledovaniya (Logic researches, in Russian), 22(1). Retrieved from https://logicalinvestigations.ru/article/view/463?lang=ru

Marcos, J. (2005). Nearly every normal modal logic is paranormal. Logique et Analyse, 48(189/192), 279-300.

Moldakhan I., Matrassulova, D. K., Shaltykova, D. B., & Suleimenov, I. E. (2021, August). Some advantages of non-binary Galois fields for digital signal processing. Indonesian Journal of Electrical Engineering and Computer Science, 23(2), 871-877

Moldakhan, I., Shaltikova, D. B., Egemberdyeva, Z. M., & Suleimenov, I. E. (2020, October). Application of ternary logic for digital signal processing. In IOP Conference Series: Materials Science and Engineering, IOP Publishing, 946(1), 1-5. https://doi.org/10.1088/1757-899X/946/1/012002

Mun, G. A., Moldakhan, I., Serikbay, A. M., Kaldybekov, D., Suleimenov, I. E., & Park, K. (2020). Hydrophilic interpolymer associates ñ the key to solving the problem of pre-biological evolution. International Journal of Biology and Chemistry, 13(1), 4-13. https://doi.org/10.26577/ijbch.2020.v13.i1.01

Palchunov, D. E. (2006). Modelirovanie myshleniya i formalizaciya refleksii: Teoretiko-modelínaya formalizaciya ontologii i refleksii (Modeling of thinking and formalization of reflection: Model-theoretic formalization of ontology and reflection, in Russian). Filosofiya nauki (Philosophy of Science, in Russian), 4(31), 86-114.

Savkin, N. S. (2010). Applied philosophy: Subject, structure, functions. Humanitarian: Actual Problems of Humanitarian Science and Education, 1, 2-8.

Suleimenov, I. E., Gabrielyan, O. A., Bakirov, A. S., & Vitulyova, Ye. S. (2019). Dialectical understanding of information in the context of the artificial intelligence problems. IOP Conference Series: Materials Science and Engineering, 630. doi: 10.1088/1757-899X/630/1/012007

Suleimenov, I. E., Gabrielyan, O. A., Malenko, S. A., Vitulyova, Y. S., & Nekita, A. G. (2021). Algorithmic basis of battle neural networks and crisis phenomena in modern society. Perishable and Eternal: Mythologies and Social Technologies of Digital Civilization. European Proceedings of Social and Behavioural Sciences, 120, 247-255. doi: 10.15405/epsbs.2021.12.03.33

Suleimenov, I. E., Massalimova, A., Bakirov, A. S., & Gabrielyan, O. A. (2018). Neural Networks and the Philosophy of Dialectical Positivism. MATEC Web Conf. 214, 02002. https://doi.org/10.1051/matecconf/201821402002

Suleimenov, I. E., Matrassulova, D. K., Moldakhan, I., Vitulyova, Y. S., Kabdushev, S. B., & Bakirov, A. S. (2022). Distributed memory of neural networks and the problem of the intelligenceís essence. Bulletin of Electrical Engineering and Informatics, 11(1), 247-255. https://doi.org/10.15405/epsbs.2021.12.03.33

Suleimenov, I. E., Vitulyova, Y. S., Bakirov, A. S., & Gabrielyan, O. A. (2020). Artificial intelligence: What is it? ACM International Conference Proceeding Series, 22-25. https://doi.org/10.1145/3397125.3397141

Suleimenov, I., Gabrielyan, O., Mun, G., Panchenko, S., Amirzhan, T., & Suleimenova, K. (2014). Voting procedure and neural networks. International Journal on Communications, 3, 16-20.

Suleimenov, I., Panchenko, S., Gabrielyan, O., & Pak, I. (2016). Voting procedures from the perspective of theory of neural networks. Open Engineering, 6(1). doi:10.1515/eng-2016-0048

Vitulyova, Y. S., Bakirov, A. S., Baipakbayeva, S. T., & Suleimenov, I. E. (2020). Interpretation of the category of complex in terms of dialectical positivism. IOP Conference Series: Materials Science and Engineering, 946(1), 1-6. doi:10.1088/1757-899X/946/1/012004

Weber, M. (1972). Wirtschaft und Gesellschaft. Grundriss der verstehenden Soziologie. 5. revidierte Auf l. Besorgt von Johannes Winckelmann (Economy and society. Outline of understanding sociology. 5th rev. ed. l. Concerned by Johannes Winckelmann, in German,). T¸bingen: J.C.B. Mohr (Paul Siebeck).

Downloads

Published

2022-03-28

How to Cite

GABRIELYAN, O., VITULYOVA, E., & SULEIMENOV, I. (2022). Multi-Valued Logics as an Advanced Basis for Artificial Intelligence (As an Example of Applied Philosophy). WISDOM, 21(1), 170–181. https://doi.org/10.24231/wisdom.v21i1.721

Issue

Section

Articles

Most read articles by the same author(s)