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Towards digital cognitive clones for the decision-makers: adversarial training experiments.
- Source :
- Procedia Computer Science; 2021, Vol. 180, p180-189, 10p
- Publication Year :
- 2021
-
Abstract
- 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). [ABSTRACT FROM AUTHOR]
- Subjects :
- GENERATIVE adversarial networks
MACHINE learning
INDUSTRY 4.0
Subjects
Details
- Language :
- English
- ISSN :
- 18770509
- Volume :
- 180
- Database :
- Supplemental Index
- Journal :
- Procedia Computer Science
- Publication Type :
- Academic Journal
- Accession number :
- 148883635
- Full Text :
- https://doi.org/10.1016/j.procs.2021.01.155