Artificial Intelligence in the Context of Psychological Security: Theoretical and Practical Implications

DOI

10.2991/eusflat-19.2019.16How to use a DOI?

Keywords

Artificial Intelligence Psychological Warfare Predictive Analytics Prognostic Weapons Terrorism Social Networks Cognitive Maps Hierarchy Method Artificial Neural Networks Psychological Security

Abstract

The academic community cannot ignore the growing opportunities offered by artificial intelligence. Especially relevant are developments in this ares against the background of growing challenges and threats arising from the use of the digital environment by actors of psychological warfare – by strategists and tactics of “color revolutions’ as well as terrorist and criminal groups. The main objective of the paper is to develop efective instruments to counter the destructive psychological impact on the individual, society, and the state. As a tool in such psychological warfare, the authors see the use of hybrid intellectual systems for decision support bazed on fuzzy cognitive maps, the method of hierarchies, and artificial neural networks. The authors also state for the creation of the mathematical models of decision support in psychological warfare and discuss the need for training based on data mining, obtained from the Internet, using deep learning networks.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Alexey Averkin
AU  - Darya Bazarkina
AU  - Konstantin Pantserev
AU  - Evgeny Pashentsev
PY  - 2019/08
DA  - 2019/08
TI  - Artificial Intelligence in the Context of Psychological Security: Theoretical and Practical Implications
BT  - Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)
PB  - Atlantis Press
SP  - 101
EP  - 107
SN  - 2589-6644
UR  - https://doi.org/10.2991/eusflat-19.2019.16
DO  - 10.2991/eusflat-19.2019.16
ID  - Averkin2019/08
ER  -