Artificial intelligence as the cognitive value of heuristic models

Valeriy Mygal, Galyna Mygal, Stanislav Mygal

Abstract


This article is devoted to heuristic modeling of the structure of interconnections in nano-, bio- and information technologies and in cyber-physical systems, graphic images of which allow studying the fine structure of information sources of various natures. It is shown here that the information content of models of the structure of interconnections of nano-, bio-, information technologies and components of cyber-physical systems is due to the use of a fractal triangle and logic. The current work harmonizes human-computer interaction through digital complementary methods for studying the structure of information sources of various natures, as well as using the circle of natural colors by I. Goethe and a new interpretation of the Star of David. Here we show that balanced conjugate triangles in heuristic models allow inversion of transition states of information sources of different nature. Static, dynamic and statistical generalized heuristic models are based on the balance of resources and the asymmetry of feedback between the elements of a complex dynamic system. Their relationship determines the variability of cyclic processes, and the complementarity of dynamic and statistical heuristic models is associated with the dualism of nature. A systematic analysis of explicit and hidden relationships in information flows of various natures opens up qualitatively new opportunities for a cognitive dialogue with nature and an understanding of reality. The complementarity of heuristic and cognitive models in the transdisciplinary cognitive space provides innovative potential for solving urgent problems of education, science and new technologies. This is especially important for the further development of artificial intelligence and the harmonization of human-computer interaction. In particular, online forecasting of the transient functional states of information sources of various nature under unforeseen conditions simplifies the interdisciplinary exchange of ideas, methods and technologies. Since the number of honeycomb structures in nature is two to three orders of magnitude greater than that of artificial models, their connection with the harmony of colors in nature contributes to the development of emotional intelligence, creating new opportunities for solving relevant security problems.

Keywords


information security; space-time structure; cyber-physical systems; cognitive sciences; transdisciplinarity; inversion

Full Text:

PDF

References


Stanton, N. Advances in Human Factors of Transportation. Proceedings of the AHFE 2019 International Conference on Human Factors in Transportation, July 24-28, 2019, Washington D.C., USA, Springer, vol. 964. 834 p. DOI: 10.1007/978-3-030-20503-4.

Mygal, V., Mygal, G., Mygal, S. Cognitive Space for Online and Offline Learning: A Convergent Approach. The Educational Review, USA, 2022, vol. 6, iss. 4, pp. 109-123. DOI: 10.26855/er.2022.04.001.

Reiman, A., Kaivo-oja, J., Parviainen E., Takala, Esa-Pekka., Lauraeus, Th. Human factors and ergonomics in manufacturing in the industry 4.0 context – A scoping review. Technology in Society, 2021, vol. 65, article id: 101572. DOI: 10.1016/j.techsoc.2021.101572.

Nahavandi, S. Industry 5.0 – A Human-Centric Solution. Sustainability, 2019, vol. 11, iss. 16, article no. 4371. DOI: 10.3390/su11164371.

Learn how to combine the strengths of humans and machines for manufacturing of the future. Industry 5.0: Announcing the Era of Intelligent Automation. Available at: https://intellias.com/industry-5-0-announcing-the-era-of-intelligent-automation/#article-2 (accessed 07.04.2022).

Parasuraman, R., Mehta, R. Neuroergonomics: a review of applications to physical and cognitive work. Frontiers in Human Neuroscience, 2013, vol. 7(889), pp. 1-10. DOI: 10.3389/fnhum.2013.00889.

Lee, J. D., Wickens, C. D., Liu, Y., Boyle, L. N. Designing for People: An introduction to human factors engineering. Charleston, SC, CreateSpace, 2017. ISBN 9781539808008.

Fedota, J., Parasuraman, R. Neuroergonomics and human error. Theoretical Issues in Ergonomics Science, 2010, vol. 11, iss. 5, pp. 402-421. DOI: 10.1080/14639220902853104.

Mygal, V. P., Mygal G. V. Convergent Approach to Identification of Transient States of a Dynamic System. Journal of Nano-Electron. Phys., 2020, vol. 12(6), article no. 06018. DOI: 10.21272/jnep.12(6).06018.

Wickens, C. D., Lee, J. D., Liu, Y., Gordon-Becker, S. An Introduction to human factors engineering. Prentice Hall Publ., 2004. 608 p.

Mygal, V. P., Mygal, G. V., Balabanova, L. M. Visualization of Signal Structure Showing Element Functioning in Complex Dynamic Systems – Cognitive Aspects. Journal of Nano- and Electronic Physics, 2019, vol. 11, no. 2, article no. 02013. DOI: 10.21272/jnep.11(2).02013.

Mygal, V., Mygal, G. Problems of Digitized Information Flow Analysis: Cognitive Aspects. Information & Security: An International Journal, 2019, vol. 43, no. 2, pp. 134-144. DOI: 10.11610/isij.4312.

Wiener, N. Cybernetics: Or Control and Communication in the Animal and the Machine. MIT Press, 1985. 212 p.

Haken, H. Tainy prirody. Sinergetika - nauka o vzaimodeistvii [Secrets of nature. Synergetics – the doctrine of interaction]. Moscow, Izhevsk, I Institut komp'yuternykh issledovanii Publ., 2003. 320 p.

Haken, H. Synergetics as a bridge between the natural and social sciences. In Book Evolution, Order and Complexity, Chapert 11, London, 1996. 15 p.

Biehn, Neil. The Missing V’s in Big Data: Viability and Value. Available at: https://www.wired.com/insights/2013/05/the-missing-vs-in-big-data-viability-and-value/ (accessed 07.04.2022).

McNulty, Eileen. Understanding Big Data: The Seven V’s. Available at: https://dataconomy.com/2014/05/seven-vs-big-data/ (accessed 07.04.2022).

Bak, P., Tang, C., Wiesenfeld, K. Self-organized criticality. Phys. Rev. A., 1988, vol. 38, no. 1, pp. 364-374. DOI: 10.1103/PhysRevA.38.364.

Illiashenko, O., Mygal, V., Mygal, G., Protasenko, O. A convergent approach to the viability of the dynamical systems: The cognitive value of complexity. International Journal of Safety and Security Engineering, 2021, vol. 11, no. 6, pp. 713-719. DOI: 10.18280/ijsse.110612

Roco, M., Bainbridge, W. Converging Technologies for Improving Human Performance: Nanotechnology, Biotechnology, Information Technology and Cognitive Science. Journal of Nanoparticle Research, 2002, vol. 4, pp. 281–295.

Schwaninger, M., Ríos, J. System dynamics and cybernetics: A synergetic pair. System Dynamics Review, 2008, vol. 24, no. 2, pp. 145-174. DOI: 10.1002/sdr.400.

Mygal, V., Mygal, G., Mygal, S. Transdisciplinary convergent approach – human factor. Radioelectronic and computer systems, 2021, no. 4(100), pp. 7-21. DOI: 10.32620/reks.2021.4.01.

Russel, J., Norvig S. Artificial Intelligence: a modern approach. Prentice Hall, New Jersey, 2003. 946 p. ISBN 0-13-103805-2

Johann Wolfgang von Goethe, Charles Lock Eastlake, Charles Wheatstone. Goethe's theory of colours. London, John Murray, 1840.

Chumak, O. Entropy and fractals in data analysis. Publisher R&C Dynamics, 2012, ISBN: 978-5-93972-940-6. DOI: 10.13140/2.1.4739.6800.

Mandelbrot, B. B. Self-affine fractal sets. Fractals in physics, Moscow, Mir Publ., 1988. 672 p.

Smith, Jr. T. G., Marks, W. B., Lange, G. D., Sheriff, Jr. W. H., Neale, E. A. A fractal analysis of cell images. J. Neurosci. Methods, 1989, vol. 27, pp. 173–180. DOI: 10.1016/0165-0270(89)90100-3.

Mygal, V. P., Mygal, G. V. Cognitive and ergonomics aspects human interactions with a computer. Radioelectronic and computer systems, 2020, no. 1(93), pp. 90-102. DOI: 10.32620/reks.2020.1.09.

Mygal, V., Mygal, G., Illiashenko, O. Intelligent Decision Support – Cognitive Aspects. Digital Transformation, Cyber Security and Resilience of Modern Societies. Cham: Springer, 2021, vol 84, рp. 395–411. (Studies in Big Data; DOI: 10.1007/978-3-030-65722-2_25.

Edwards, A. W. F. Maximization principles in evolutionary biology. Philosophy of Biology. Elsevier B.V. Publ., 2007, pp. 335-347.

French, Steven. The Structure of the World: Metaphysics and Representation. Oxford University Press, 2014. DOI: 10.1093/acprof:oso/9780199684847.001.0001.

Mygal, V. P., But, A. V., Mygal, G. V., Klimenko, I. A. An interdisciplinary approach to study individuality in biological and physical systems functioning. Scientific Reports, 2016, vol. 6, pp. 387–391. DOI: 10.1038/srep29512.

Transdisciplinarity: stimulating synergies, integrating knowledge. International Symposium on Transdisciplinarity, UNESCO, Division of Philosophy and Ethics. Val-d'Oise, France, 1998, рp. 37-38.

Bernstein, J. H. Transdisciplinarity: A Review of Its Origins, Development, and Current Issues. Journal of Research Practice, 2015, vol. 11, iss. 1, article R1. 20 p.

Rigolot, Cyrille. Transdisciplinarity as a discipline and a way of being: complementarities and creative tensions, Humanities and Social Sciences Communications, 2020, vol. 7, article no. 100. DOI: 10.1057/s41599-020-00598-5.

Georgiev, Georgi Yordanov. A Quantitative Measure, Mechanism and Attractor for Self-Organization in Networked Complex Systems. Self-Organizing Systems. IWSOS 2012. Lecture Notes in Computer Science, 2012, vol. 7166, pp. 90–95. DOI: 10.1007/978-3-642-28583-7_9.

Gödеl, К. Die Vollständigkeit der Axiome des logischen Funktionenkalküls. Monatshefte für Mathematik und Physik, 1930, vol. 37, pp. 349-360. DOI: 10.1007/BF01696781.

Poincaré, A. On Science [O nauke]. Moscow, Nauka Publ., 1990. 736 p. (in Russian). ISBN 5-02-014328-6.

Passino, K. Biomimicry for Optimization, Control, and Automation. London, Springer-Verlag Publ., 2005. DOI: 10.1007/b138169.

Terekhovich, V. Metaphysics of the Principle of Least Action. Studies in History and Philosophy of Science. Part B: Studies in History and Philosophy of Modern Physics, 2018, vol. 62, pp. 189-201. DOI: 10.1016/j.shpsb.2017.09.004.

Bird, A. Nature's Metaphysics: Laws and Properties. New York, Oxford University Press Publ., 2007. DOI: 10.1093/acprof:oso/9780199227013.001.0001.

Einstein, Albert. The Ultimate Quotable Einstein. Edited by Alice Calaprice, Princeton University Press, 2019. 608 p.

Evans, D. J., Searles D. J., Mittag, E. Fluctuation theorem for Hamiltonian Systems: Le Chatelier’s principle. Phys. Rev. E., 2001, vol. 63, iss. 5, article no. 051105. DOI: 10.1103/PhysRevE.63.051105.




DOI: https://doi.org/10.32620/reks.2022.2.10

Refbacks

  • There are currently no refbacks.