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 editorsTerziyan, Vagan; Gavriushenko, Mariia; Girka, Anastasiia; Gontarenko, Andrii; Kaikova, Olena

Journal or seriesIET Collaborative Intelligent Manufacturing

eISSN2516-8398

Publication year2021

Volume3

Issue number1

Pages range64-74

PublisherJohn Wiley & Sons

Publication countryUnited Kingdom

Publication languageEnglish

DOIhttps://doi.org/10.1049/cim2.12008

Publication open accessOpenly available

Publication channel open accessOpen Access channel

Publication is parallel published (JYX)https://jyx.jyu.fi/handle/123456789/74456

Additional informationSpecial 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.


Keywordsintelligent systemsautomation systemshuman-machine systemsartificial intelligencemachine learning


Contributing organizations


Ministry reportingYes

VIRTA submission year2021

JUFO rating1


Last updated on 2024-12-10 at 09:15