DIGITAL INFORMATION-INTELLIGENT TECHNOLOGIES FOR ENGINEERING PROBLEM SOLVING
DOI:
https://doi.org/10.17721/3041-2323.2024.203-213Keywords:
symbolic digitalization, computer products, energetic activity, flow networks, multi-criteria management, risks, future tasksAbstract
In this work, a digitalized information and intellectual technology is proposed for the implementation of accurate, multifaceted, multitemporal relationships in relation to scientific knowledge of original natural objects and images of binarized model descriptions in equivalent linguistic and linguistic tasks.
References
Baranov, H. L., & Levkovets, P. R. (2007). Telecommunication technologies in transport. NTU [in Ukrainian].
Baranov, H. L., Komisarenko, O. S., & Prokhorenko, O. M. (2019). Processoriented infological models in the tasks of heterogeneous interaction of
complex dynamic systems and non-stationary environments. Bulletin of the National Transport University, 1, 3–12 [in Ukrainian].
Bawden, D., & Robinson, L. (2008). The dark side of information: Overload, anxiety and other paradoxes and pathologies. Journal of Information Science, 35(2), 180–191. https://doi.org/10.1177/0165551508095781
Chessell, M., Sivakumar, G., Wolfson, D. (2015). Common information models for an open, analytical, and agile world. New York: IBM Press.
Hilbert, M. (2012). How much information is there in the "information society"? Significance, 9(4), 8–12. https://doi.org/10.1111/j.1740-9713.2012.00584.x
Norvig, P., & Russell, S. (2022). Artificial intelligence: A modern approach (3rd ed.). Springer Nature. https://www.askbooks.net/2022/02/pdf-ai-artificial-intelligencethird.html
Pavé, A. (2012). Modeling of living systems: From cell to ecosystem. New York: John Wiley & Sons.
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