Self-aware computing systems: from psychology to engineering

Peter R. Lewis*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

At the current time, there are several fundamental changes in the way computing systems are being developed, deployed and used. They are becoming increasingly large, heterogeneous, uncertain, dynamic and decentralised. These complexities lead to behaviours during run time that are difficult to understand or predict. One vision for how to rise to this challenge is to endow computing systems with increased self-awareness, in order to enable advanced autonomous adaptive behaviour. A desire for self-awareness has arisen in a variety of areas of computer science and engineering over the last two decades, and more recently a more fundamental understanding of what self-awareness concepts might mean for the design and operation of computing systems has been developed. This draws on self-awareness theories from psychology and other related fields, and has led to a number of contributions in terms of definitions, architectures, algorithms and case studies. This paper introduces some of the main aspects of self-awareness from psychology, that have been used in developing associated notions in computing. It then describes how these concepts have been translated to the computing domain, and provides examples of how their explicit consideration can lead to systems better able to manage trade-offs between conflicting goals at run time in the context of a complex environment, while reducing the need for a priori domain modelling at design or deployment time.

Original languageEnglish
Title of host publicationProceedings of the 2017 Design, Automation & Test in Europe Conference & Exhibition (DATE)
PublisherIEEE
Pages1044-1049
Number of pages6
ISBN (Print)978-3-9815-3709-3
DOIs
Publication statusPublished - 15 May 2017
Event20th Design, Automation and Test in Europe, DATE 2017 - Swisstech, Lausanne, Switzerland
Duration: 27 Mar 201731 Mar 2017

Publication series

NameDesign, Automation, and Test in Europe Conference and Exhibition. Proceedings
PublisherIEEE
ISSN (Print)1558-1101

Conference

Conference20th Design, Automation and Test in Europe, DATE 2017
CountrySwitzerland
CitySwisstech, Lausanne
Period27/03/1731/03/17

Fingerprint

Computer science

Cite this

Lewis, P. R. (2017). Self-aware computing systems: from psychology to engineering. In Proceedings of the 2017 Design, Automation & Test in Europe Conference & Exhibition (DATE) (pp. 1044-1049). (Design, Automation, and Test in Europe Conference and Exhibition. Proceedings ). IEEE. https://doi.org/10.23919/DATE.2017.7927144
Lewis, Peter R. / Self-aware computing systems : from psychology to engineering. Proceedings of the 2017 Design, Automation & Test in Europe Conference & Exhibition (DATE). IEEE, 2017. pp. 1044-1049 (Design, Automation, and Test in Europe Conference and Exhibition. Proceedings ).
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Lewis, PR 2017, Self-aware computing systems: from psychology to engineering. in Proceedings of the 2017 Design, Automation & Test in Europe Conference & Exhibition (DATE). Design, Automation, and Test in Europe Conference and Exhibition. Proceedings , IEEE, pp. 1044-1049, 20th Design, Automation and Test in Europe, DATE 2017, Swisstech, Lausanne, Switzerland, 27/03/17. https://doi.org/10.23919/DATE.2017.7927144

Self-aware computing systems : from psychology to engineering. / Lewis, Peter R.

Proceedings of the 2017 Design, Automation & Test in Europe Conference & Exhibition (DATE). IEEE, 2017. p. 1044-1049 (Design, Automation, and Test in Europe Conference and Exhibition. Proceedings ).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Lewis PR. Self-aware computing systems: from psychology to engineering. In Proceedings of the 2017 Design, Automation & Test in Europe Conference & Exhibition (DATE). IEEE. 2017. p. 1044-1049. (Design, Automation, and Test in Europe Conference and Exhibition. Proceedings ). https://doi.org/10.23919/DATE.2017.7927144