Dialectics of Scientific Revolutions from the Point of View of Innovations Theory
DOI:
https://doi.org/10.24234/wisdom.v24i4.913Keywords:
innovation theory, dialectics, scientific revolutions, post-non-classical science, epistemology, science of scienceAbstract
It is shown that the difficulties that appear during attempts to uncover the mechanisms of changing of scientific paradigms can be overcome by consistent application of the apparatus of dialectics and by the interpretation of science as a social institution that produces intangible assets. This interpretation demonstrates analogy between T. Kuhn’s theory of changing scientific paradigms and the theory of innovation cycles, which goes back to the works of J. Schumpeter. The fact allows one to consider the production of intangible assets by the methods of institutional economics. The basic dialectical contradiction in this interpretation is the contradiction between the innovativeness of a set of ideas that form a new paradigm and ensure the systematic generation of intangible assets, and its liquidity. The liquidity of intangible assets is primarily determined by the extent to which society is ready to accept new ideas and views. The resolution of the identified contradiction is carried out through a cyclical change in resistance to innovation. The period of dominance of a certain paradigm ends when it exhausts the potential of its development, which determines the finiteness of the life cycle of any scientific paradigm, just as the life cycle of any innovation is finite.
Downloads
References
Alexander, J. C. (2008). Clifford Geertz and the strong program: The human sciences and cultural sociology. Cultural Sociology, 2(2), 157-168. DOI: https://doi.org/10.1177/1749975508091030
Alfano, V., & Ercolano, S. (2021). Social capital, quality of institutions and lockdown. Evidence from Italian provinces, Structural Change and Economic Dynamics ISSN 0954-349X, doi:10.1016/j.strueco.2021.08.001. DOI: https://doi.org/10.1016/j.strueco.2021.08.001
Arshinov, V. I., & Lebedev, M. V. (2007). Postneklassicheskaja racional'nost', virtualistika i informacionnye tehnologii (Post-nonclassical rationality, virtualistics and information technology, in Russian). Filosofskie nauki (Philosophical Sciences, in Russian), 7, 9-29.
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 DOI: https://doi.org/10.5194/isprs-archives-XLVI-4-W5-2021-83-2021
Bosi, S., Lloyd-Braga, T., & Nishimura, K. (2021). Externalities of human capital. Mathematical Social Sciences, 112, 145-158. doi: 10.1016/j.mathsocsci.2021.03.013 DOI: https://doi.org/10.1016/j.mathsocsci.2021.03.013
Baker, A., Breuninger, S., & Pull, K. (2021). Pushing performance by building bridges: Human and social capital as mechanisms behind the mobility-performance link: Journal of Vocational Behavior, 129, 103613. doi: 10.1016/j.jvb.2021.103613 DOI: https://doi.org/10.1016/j.jvb.2021.103613
Cooke, M. (2000). Between ëObjectivismíand ëContextualismí. The Normative Foundations of Social Philosophy, Critical Horizons, 1(2), 193-227. DOI: https://doi.org/10.1163/156851600750133342
Eco, U. (1968). La struttura assente: introduzione alla ricerca semiologica] (The absent structure: introduction to semiological research, in Italian)?. Bompiani, Milan: New Italian Essays.
Gabrielyan, O. A., Vitulyova, Ye. S., & Suleimenov, I. E. (2022). Multi-valued logics as an advanced basis for artificial intelligence. WISDOM, 21(1), 170-181. https://doi.org/10.24231/wisdom.v21i1.721 DOI: https://doi.org/10.24234/wisdom.v21i1.721
Girc, K. (1997). Vlijanie koncepcii kul'tury na koncepciju cheloveka (The Influence of the concept of culture on the concept of person, in Russian). Antologija issledovanii kul'tury (Anthology of cultural studies, in Russian), 1, 155-141.
Gullatz, S. (2010). Constructing the collective unconscious. Journal of Analytical Psychology, 55(5), 691-714. DOI: https://doi.org/10.1111/j.1468-5922.2010.01878.x
Ionin, L. G. (2000). Sociologija kul'tury: put' v novoe tysjacheletie (Sociology of culture: The path to the new millennium, in Russian). University textbook. (3rd rev. ed.). Moscow. Logos.
Irvine, E. (2012). Consciousness as a scientific concept: A philosophy of science perspective (Vol. 5). Springer Science & Business Media. DOI: https://doi.org/10.1007/978-94-007-5173-6
Iurato, G. (2015). A brief comparison of the unconscious as seen by Jung and Levi?Strauss. Anthropology of Consciousness, 26(1), 60-107. DOI: https://doi.org/10.1111/anoc.12032
Ivan'ko, M. A., & Gasovich, A. A. (2016). Troichnye JeVM: istoricheskij i obrazovatel'nyj aspekty izuchenija komp'juternoj arhitektury (Ternary computers: Historical and educational aspects of the study of computer architecture, in Russian). Vestnik Moskovskogo gosudarstvennogo universiteta pechati (Bulletin of the Moscow State University of Printing Arts, in Russian), 1, 42-45.
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. News of the National Academy of Sciences of the Republic of the KazakhstanñSeries of Geology and Technical Sciences, 6, 47-54. DOI: https://doi.org/10.32014/2018.2518-170X.34
Kuhn, T. (1996). The structure of scientific revolutions. Princeton University Press. DOI: https://doi.org/10.7208/chicago/9780226458106.001.0001
Ladyman, J. (2012). Understanding philosophy of science. Routledge. DOI: https://doi.org/10.4324/9780203463680
Lebedev, S. A. (2013). Postneklassicheskaja jepistemologija: osnovnye koncepcii (Post-non-classical epistemology: Basic concepts, in Russian). Filosofskie nauki (Philosophical Sciences), 4, 72-87.
Lebedev, S.A. (2014). Osnovnye paradigmy jepistemologii i filosofii nauki (The main paradigms of epistemology and philosophy of science, in Russian). Filosofskie nauki (Philosophical Sciences), 3, 47-63.
Manovich, L. (2016). The science of culture? Social computing, digital humanities and cultural analytics. Journal of Cultural Analytics 1(1), 1-15. https://doi.org/10.22148/16.004 DOI: https://doi.org/10.22148/16.004
Millon Cornett, M., Minnick, K., Schorno, P. J., & Tehranian, H. (2021). Bank consumer relations and social capital. Journal of Banking & Finance, 133, 106272. doi: 10.1016/j.jbankfin.2021.106272 DOI: https://doi.org/10.1016/j.jbankfin.2021.106272
Nikiforov, A. L. (2013). Chto takoe îpostneklassicheskaja naukaî? (What is îpost-non-classical science?î, in Russian). Epistemology & Philosophy of Science (Epistemology & Philosophy of Science, in Russian), 26(2), 59-64. DOI: https://doi.org/10.5840/eps201336250
Platonova, S. I. (2017) Nauchnye revoljucii i social'nye nauki, Nauka. Mysl' (Scientific revolutions and social sciences, Science. Thought, in Russian). Jelektronnyj Periodicheskij Zhurnal (Electronic Periodical Jurnal, in Russian), 63-67.
Shazeer, N., Mirhoseini, A., Maziarz, K., Davis, A., Le, Q., Hinton, G., & Dean, J. (2017). Outrageously large neural networks. The sparsely-gated mixture-of-experts layer. arXiv preprint arXiv: 1701.06538.
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 DOI: https://doi.org/10.1145/3397125.3397141
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), 510-520. DOI: https://doi.org/10.11591/eei.v11i1.3463
Suleimenov, I., Bakirov, A., & Moldakhan, I. (2019). Formalization of ternary logic for application to digital signal processing. In Energy Management of Municipal Transportation Facilities and Transport Springer (pp. 26-35). Springer: Cham. DOI: https://doi.org/10.1007/978-3-030-57453-6_3
Suleimenov, I., Massalimova, A., Bakirov, A., & Gabrielyan, O. (2018). Neural networks and the philosophy of dialectical positivism. MATEC Web of Conferences, 214, 02002. EDP Sciences. DOI: https://doi.org/10.1051/matecconf/201821402002
Suleimenov, I., Panchenko, S., Gabrielyan, O., & Pak, I. (2016). Voting procedures from the perspective of theory of neural networks. Open Engineering, 6(1), 318-1-321. DOI: https://doi.org/10.1515/eng-2016-0048
Suleimenov, I. E., Bakirov, A. S., Niyazova, G. & Shaltykova, D. B. (2021). University as an analogue of the neural network. E3S Web of Conferences, 258, 07056 https://doi.org/10.1051/e3sconf/202125807056 DOI: https://doi.org/10.1051/e3sconf/202125807056
Swedberg, R. (1995). Schumpeterís vision of socioeconomics. The Journal of Socio-Economics, 24(4), 525-544. doi: 10.1016/1053-5357(95)90001-2 DOI: https://doi.org/10.1016/1053-5357(95)90001-2
Tuluce, N. S., & Yurtkur, A. K. (2015). Term of strategic entrepreneurship and Schumpeterís creative destruction theory. Procedia - Social and Behavioral Sciences, 207, 720-728. doi: 10.1016/j.sbspro.2015.10.146 DOI: https://doi.org/10.1016/j.sbspro.2015.10.146
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), 012004. doi: 10.1088/1757-899X/946/1/012004 DOI: https://doi.org/10.1088/1757-899X/946/1/012004
Zhang, X., & Xiaojun, W. (2021). Measures of human capital and the mechanics of economic growth. China Economic Review, 68, 101641. doi: 10.1016/j.chieco.2021.101641 DOI: https://doi.org/10.1016/j.chieco.2021.101641
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Ibragim SULEIMENOV, Oleg GABRIELYAN, Yelizaveta VITULYOVA
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Creative Commons Attribution-Non-Commercial (CC BY-NC). CC BY-NC allows users to copy and distribute the article, provided this is not done for commercial purposes. The users may adapt – remix, transform, and build upon the material giving appropriate credit, and providing a link to the license. The full details of the license are available at https://creativecommons.org/licenses/by-nc/4.0/.
