A survey of self-awareness and its application in computing systems


Novel computing systems are increasingly being composed of large numbers of heterogeneous components, each with potentially different goals or local perspectives, and connected in networks which change over time. Management of such systems quickly becomes infeasible for humans. As such, future computing systems should be able to achieve advanced levels of autonomous behaviour. In this context, the system's ability to be self-aware and be able to self-express becomes important. This paper surveys definitions and current understanding of self-awareness and self-expression in biology and cognitive science. Subsequently, previous efforts to apply these concepts to computing systems are described. This has enabled the development of novel working definitions for self-awareness and self-expression within the context of computing systems.

Publication DOI: https://doi.org/10.1109/SASOW.2011.25
Divisions: College of Engineering & Physical Sciences > School of Informatics and Digital Engineering > Computer Science
Additional Information: © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Event Title: 5th IEEE Conference on Self-Adaptive and Self-Organizing Systems Workshops
Event Type: Other
Event Dates: 2011-10-03 - 2011-10-07
Uncontrolled Keywords: Autonomous systems,Self-awareness,Self-expression,Information Systems,Software
ISBN: 978-0-7695-4545-5
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
http://ieeexplo ... rnumber=6114582 (Publisher URL)
PURE Output Type: Conference contribution
Published Date: 2011
Authors: Lewis, Peter R. (ORCID Profile 0000-0003-4271-8611)
Chandra, Arjun
Parsons, Shaun
Robinson, Edward
Glette, Kyrre
Bahsoon, Rami
Torresen, Jim
Yao, Xin



Version: Accepted Version

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