A1 Journal article (refereed)
Cloning and training collective intelligence with generative adversarial networks (2021)
Terziyan, V., Gavriushenko, M., Girka, A., Gontarenko, A., & Kaikova, O. (2021). Cloning and training collective intelligence with generative adversarial networks. IET Collaborative Intelligent Manufacturing, 3(1), 64-74. https://doi.org/10.1049/cim2.12008
JYU authors or editors
Publication details
All authors or editors: Terziyan, Vagan; Gavriushenko, Mariia; Girka, Anastasiia; Gontarenko, Andrii; Kaikova, Olena
Journal or series: IET Collaborative Intelligent Manufacturing
eISSN: 2516-8398
Publication year: 2021
Volume: 3
Issue number: 1
Pages range: 64-74
Publisher: John Wiley & Sons
Publication country: United Kingdom
Publication language: English
DOI: https://doi.org/10.1049/cim2.12008
Publication open access: Openly available
Publication channel open access: Open Access channel
Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/74456
Additional information: Special Issue: Selected Papers from Collaborative and Intelligent Manufacturing in Industry 4.0 (ISM @SMM 2019).
Abstract
Industry 4.0 and highly automated critical infrastructure can be seen as cyber‐physical‐social systems controlled by the Collective Intelligence. Such systems are essential for the functioning of the society and economy. On one hand, they have flexible infrastructure of heterogeneous systems and assets. On the other hand, they are social systems, which include collaborating humans and artificial decision makers. Such (human plus machine) resources must be pre‐trained to perform their mission with high efficiency. Both human and machine learning approaches must be bridged to enable such training. The importance of these systems requires the anticipation of the potential and previously unknown worst‐case scenarios during training. In this paper, we provide an adversarial training framework for the collective intelligence. We show how cognitive capabilities can be copied (“cloned”) from humans and trained as a (responsible) collective intelligence. We made some modifications to the Generative Adversarial Networks architectures and adapted them for the cloning and training tasks. We modified the Discriminator component to a so‐called “Turing Discriminator”, which includes one or several human and artificial discriminators working together. We also discussed the concept of cellular intelligence, where a person can act and collaborate in a group together with their own cognitive clones.
Keywords: intelligent systems; automation systems; human-machine systems; artificial intelligence; machine learning
Contributing organizations
Ministry reporting: Yes
VIRTA submission year: 2021
JUFO rating: 1