| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 710021 | IFAC Proceedings Volumes | 2010 | 6 Pages |
Abstract
In this paper, we aim to analyse the resilience of Human-Machine Systems (HMS) in order to improve it from learning process. A State of Art is achieved and resilience engineering of HMS is defined. Then, human-machines’ learning processes supposed to improve systems’ resilience and indicators proposed in the literature to assess it are analysed. A perspective can be to propose an efficient indicator, for instance based on Benefit-Cost-Deficit (BCD) model, which can lead to the system resilience characterisation.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
