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Extending System Engineering Methodology into the Era of Artificial Intelligence

Authors:
Hany Fawzy

Keywords: AI; Machine Learning; SysML; System Engineering; Advanced technologies; System of Systems; Methodology.

Abstract:
The world is on the footsteps of a time when the advances of technology supported by Artificial Intelligence (AI) will force all stakeholders to re-examine their traditional methods for designing and engineering of all future intelligent and autonomous systems. These systems would have the advantages of: Self-awareness, Self-control, Self-improvement through learning and could be Self-sufficient. We believe that AI and Autonomy shall go hand in hand in all future engineering applications. Modelling of applications, whether for Earth or Space, are lacking the capacity to model AI and autonomous systems lifecycle management. In this paper, we are defining the main guidelines that are needed to extend system modelling languages to cope with the future. This is while questioning, what a future engineering and planning lifecycles that support the migration from traditional systems to intelligent and autonomous ones, should look alike.

Pages: 1 to 4

Copyright: Copyright (c) The Government of Canada, 2021. Used by permission to IARIA.

Publication date: April 18, 2021

Published in: conference

ISSN: 2308-4243

ISBN: 978-1-61208-838-9

Location: Porto, Portugal

Dates: from April 18, 2021 to April 22, 2021