If a System is Learning to Self-adapt, Who's Teaching?

Elkhatib, Y. and Elhabbash, A. (2021) If a System is Learning to Self-adapt, Who's Teaching? In: 16th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2021), Madrid, Spain, 18-24 May 2021, pp. 256-257. ISBN 9781665402897 (doi: 10.1109/SEAMS51251.2021.00043)

Abstract

Self-adaptation is increasingly driven by machine-learning methods. We argue that the ultimate challenge for self-adaptation currently is to retain the human in the loop just enough to ensure sound evolution of automated self-adaptation.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Elkhatib, Dr Yehia
• Authors: Elkhatib, Y., and Elhabbash, A.
• College/School: College of Science and Engineering > School of Computing Science
• ISSN: 2157-2321
• ISBN: 9781665402897
• Copyright Holders: Copyright © 2021 IEEE
• Publisher Policy: Reproduced in accordance with the publisher copyright policy

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