Towards digital cognitive clones for the decision-makers : adversarial training experiments
Golovianko, M., Gryshko, S., Terziyan, V., & Tuunanen, T. (2021). Towards digital cognitive clones for the decision-makers : adversarial training experiments. In F. Longo, M. Affenzeller, & A. Padovano (Eds.), ISM 2020 : Proceedings of the 2nd International Conference on Industry 4.0 and Smart Manufacturing (180, pp. 180-189). Elsevier. Procedia Computer Science. https://doi.org/10.1016/j.procs.2021.01.155
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Procedia Computer ScienceDate
2021Copyright
© 2021 the Authors
There can be many reasons for anyone to make a digital copy (clone) of own decision-making behavior. This enables virtual presence of a professional decision-maker simultaneously in many places and processes of Industry 4.0. Such clone can be used as one’s responsible representative when the human is not available. Pi-Mind (“Patented Intelligence”) is a technology, which enables “cloning” cognitive skills of humans using adversarial machine learning. In this paper, we present a cyber-physical environment as an adversarial learning ecosystem for cloning image classification skills. The physical component of the environment is provided by the logistic laboratory with camera-surveillance over the conveyors. The digital component of the environment contains special modifications of Generative Adversarial Networks, which include a human-operator as a trainer, an autonomous Pi-Mind clone as a trainee (a discriminator) and a smart digital adversary as a challenger (generator of sophisticated decision situations, emergencies and attacks, which supposedly catalyzes the cloning process).
See presentation slides: https://ai.it.jyu.fi/ISM-2020-Pi-Mind.pptx
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ISM 2020 : Proceedings of the 2nd International Conference on Industry 4.0 and Smart ManufacturingISSN Search the Publication Forum
1877-0509Keywords
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https://converis.jyu.fi/converis/portal/detail/Publication/51611386
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