Modelling information warfare dynamics to counter propaganda using a nonlinear differential equation with a PINN-based learning approach-Reference-Cited by-同舟云学术

Modelling information warfare dynamics to counter propaganda using a nonlinear differential equation with a PINN-based learning approach

Published:2023-12-30 Issue: Volume: Page:
ISSN:2511-2104
Container-title:International Journal of Information Technology
language:en
Short-container-title:Int. j. inf. tecnol.

Author:

Pandey Rashmikiran^ORCID,Pandey Mrinal,Nazarov Alexey Nikolaevich

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s41870-023-01684-y.pdf

Reference33 articles.

1. Hartmann K, Giles K (2020) The next generation of cyber-enabled information warfare. In: 2020 12th international conference on cyber conflict (CyCon), vol 1300. IEEE, pp 233–250

2. Brundage M, Avin S, Clark J, Toner H et al (2018) The malicious use of artificial intelligence: forecasting, prevention, and mitigation. arXiv preprint arXiv:1802.07228

3. CB Insights Research Briefs (2020) Disinformation that kills: the expanding battlefield of digital warfare. https://www.cbinsights.com/research/future-of-information-warfare/ Accessed 01 Aug 2023

4. Richmond S (2016) Superintelligence: paths, dangers, strategies. Philosophy 91(1):125–130

5. Wilbur DS (2021) Enlisting propaganda for agenda building. J Inf Warf 20(1):82–95

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