| Issue |
SHS Web of Conf.
Volume 89, 2020
Conf-Corp 2020 – International Scientific-Practical Conference “Transformation of Corporate Governance Models under the New Economic Reality”
|
|
|---|---|---|
| Article Number | 03008 | |
| Number of page(s) | 7 | |
| Section | The Impact of New Technologies (Big Data, Artificial Intelligence, Neural Networks) on the Development and Efficiency of Corporate Governance Systems | |
| DOI | https://doi.org/10.1051/shsconf/20208903008 | |
| Published online | 23 December 2020 | |
Using artificial intelligence for effective decision-making in corporate governance under conditions of deep uncertainty
1 Faculty of Management, Automated control systems, Automobile and Road Construction State Technical University (MADI), Leningradsky prospect, 64, 125319 Moscow, Russia
2 Russian Technological University (MIREA), Vernadsky Avenue, 78, 119454 Moscow, Russia
* Corresponding author: avolosova32@gmail.com
The article deals with research related to the use of artificial intelligence technologies for effective decision-making in corporate governance under conditions of deep uncertainty. To process uncertainty, it is proposed to use the cognitive capabilities of artificial intelligence. Cognitivism can be used to implement intuitive, psychological and other components of the internal mental activity of a person when making decisions. These capabilities allow one to make informed decisions and predict the consequences of these decisions. To study the properties of deep uncertainty, the authors suggest using a tensor model. The tensor model of deep uncertainty makes it possible to study additional properties of uncertainty that are not available in traditional models, such as Bayesian formalism, Dempster-Shafer theory, fuzzy sets, a method based on certain factors (Stanford formalism), and others. The use of the tensor model allows one to study the spatial model of uncertainty, real and imaginary values of uncertainty, as well as uncertainty invariants with respect to various transformations of the coordinate system.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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