Abstract
On the basis of the principle of dialectical symmetry put forward within the framework of the philosophy of dialectical positivism, it is shown that the scheme of personality structure according to Jung should be clarified. It should include an element that makes this scheme symmetrical - the collective conscious (the term is formed by analogy with the term collective unconscious). This approach allows us to distinguish between the concepts of intellect, mind and consciousness. In particular, the intellect is interpreted as a structural component of the personality, most closely adjacent to the collective conscious. It is shown that it is this structural component of personality that can be converted into a digital format already at this stage of research by using methods for decoding algorithms for the operation of convolutional and similar neural networks, which we previously proposed based on new methods of digital signal processing based on the use of non-binary Galois fields. It is shown that the digital reconstruction of a separate component of the personality - intelligence - can be considered as the first step towards the implementation of digital immortality technologies.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Bostrom, N.: How long before superintelligence? Int. J. Futures Stud., 2 (1998)
Karpenko, A.S.: Modern research in philosophical logic. Quest. Philos. 9, 54–75 (2003)
Suleimenov, I.E., Vitulyova, Y.S., Bakirov, A.S., Gabrielyan, O.A.: Artificial intelligence: what is it?. In: ACM International Conference Proceeding Series, pp. 22–25 (2020). https://doi.org/10.1145/3397125.3397141
Vitulyova, Y.S., Bakirov, A.S., Baipakbayeva, S.T., Suleimenov, I.E.: Interpretation of the category of complex in terms of dialectical positivism. IOP Conf. Ser. Mater. Sci. Eng. 946(1), 012004 (2020). https://doi.org/10.1088/1757-899X/946/1/012004
Bakirov, A.S., Vitulyova, Y.S., Zotkin, A.A., Suleimenov, I.E.: Internet users’ behavior from the standpoint of the neural network theory of society: prerequisites for the meta-education concept formation. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XLVI-4/W5–2021, pp. 83–90 (2021). https://doi.org/10.5194/isprs-archives-XLVI-4-W5-2021-83-2021
Hunt, H.T.: A collective unconscious reconsidered: Jung’s archetypal imagination in the light of contemporary psychology and social science. J. Anal. Psychol. 57(1), 76–98 (2012)
Mills, J.: Jung’s metaphysics. Int. J. Jungian Stud. 5(1), 19–43 (2013)
Odajnyk, V.W.: Jung and politics: the political and social ideas of CG Jung. iUniverse (2007)
Woodside, A.G., Megehee, C.M., Sood, S.: Conversations with (in) the collective unconscious by consumers, brands, and relevant others. J. Bus. Res. 65(5), 594–602 (2012)
Assaf, R., Schumann, A.: Explainable deep neural networks for multivariate time series predictions. In: IJCAI, pp. 6488–6490 (2019)
Angelov, P., Soares, E.: Towards explainable deep neural networks (xDNN). Neural Netw. 130, 185–194 (2020)
Arrieta, A.B., et al.: Explainable artificial intelligence (XAI): concepts, taxonomies, opportunities and challenges toward responsible AI. Inf. Fus. 58, 82–115 (2020)
Gunning, D., et al.: XAI—explainable artificial intelligence. Sci. Robot. 4(37) (2019)
Došilović, F.K., Brčić, M., Hlupić, N.: Explainable artificial intelligence: a survey. In: 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), pp. 0210–0215. IEEE (2018)
Suleimenov, I.E., Bakirov, A.S., Matrassulova, D.K.: A technique for analyzing neural networks in terms of ternary logic. J. Theor. Appl. Inf. Technol. 99(11), 2537–2553 (2021)
Vitulyova, Y.S., Bakirov, A.S., Shaltykova, D.B., Suleimenov, I.E.: Prerequisites for the analysis of the neural networks functioning in terms of projective geometry. IOP Conf. Ser. Mater. Sci. Eng. 946(1), 012001 (2020)
Yang, Z., et al.: Understanding retweeting behaviors in social networks. In: Proceedings of the 19th ACM International Conference on Information and Knowledge Management, pp. 1633–1636 (2010)
Benevenuto, F., et al.: Characterizing user behavior in online social networks. In: Proceedings of the 9th ACM SIGCOMM Conference on Internet Measurement, pp. 49–62 (2009)
Roblek, V., Meško, M., Bach, M.P., Thorpe, O., Šprajc, P.: The interaction between internet, sustainable development, and emergence of society 5.0. Data 5(3), 80 (2020)
Rutter, J.: From the sociology of trust towards a sociology of ‘e-trust.’ Int. J. New Prod. Dev. Innov. Manag. 2(4), 371–385 (2001)
Hossain, S.: The Internet as a tool for studying the collective unconscious. Jung J. 6(2), 103–109 (2012)
Luria, A.: Language and Consciousness. Publishing House Peter, 336 p. St. Petersburg (2020)
Kravtsova, E.E.: Non-classical psychology L.S. Vygotsky. Natl. Psychol. J. 1, 61–66 (2012)
Klochko, V.E.: The Problem of Consciousness in Psychology: A Post-non-Classical Perspective. Bulletin of the Moscow University. Series 14. Psychology, vol. 4, pp. 20–35 (2013)
Vitulyova, E.S., Matrassulova, D.K., Suleimenov, I.E.: Application of non-binary galois fields Fourier transform for digital signal processing: to the digital convolution theorem. Indones. J. Electr. Eng. Comput. Sci. 23(3), 1718–1726 (2021)
Goodman, J.W.: Introduction to Fourier Optics. Roberts and Company Publishers (2005)
Hla, N.N., Aung, D., Myat, T.: Implementation of finite field arithmetic operations for large prime and binary fields using Java BigInteger class. Int. J. Eng. Res. Technol. (IJERT) 6(08) (2017)
Shah, D., Shah, T.: Binary Galois field extensions dependent multimedia data security scheme. Microprocess. Microsyst. 77, 103181 (2020)
Afridi, M.J., Ross, A., Shapiro, E.M.: On automated source selection for transfer learning in convolutional neural networks. Pattern Recogn. 73, 65–75 (2018)
Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Bakirov, A., Suleimenov, I., Vitulyova, Y. (2023). To the Question of the Practical Implementation of “Digital Immortality” Technologies: New Approaches to the Creation of AI. In: Arai, K. (eds) Proceedings of the Future Technologies Conference (FTC) 2022, Volume 1. FTC 2022 2022. Lecture Notes in Networks and Systems, vol 559. Springer, Cham. https://doi.org/10.1007/978-3-031-18461-1_25
Download citation
DOI: https://doi.org/10.1007/978-3-031-18461-1_25
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-18460-4
Online ISBN: 978-3-031-18461-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)