Self-modeling and self-awareness

Kirstie L. Bellman*, Christopher Landauer, Phyllis Nelson, Nelly Bencomo, Sebastian Götz, Peter Lewis, Lukas Esterle

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The purpose of this chapter is to discuss why self-aware systemsmust pay special attention to self-modeling capabilities, clarify what is meant by both strong and weak self-modeling, and describe some of the defining characteristics of selfmodeling. This chapter is also about self-management via run-time model creation by the operational system, explaining why systems need to build models at run time, what phenomena they need to model, and how they can build models effectively. A system that is expected to operate in a dynamic environment needs to be able to update and occasionally dramatically change its models to maintain synchrony with that environment. We describe several example systems, one rather extensively, to show how the notions apply in practice.

Original languageEnglish
Title of host publicationSelf-Aware Computing Systems
PublisherSpringer
Pages279-304
Number of pages26
ISBN (Electronic)9783319474748
ISBN (Print)9783319474724
DOIs
Publication statusPublished - 21 Feb 2017

Cite this

Bellman, K. L., Landauer, C., Nelson, P., Bencomo, N., Götz, S., Lewis, P., & Esterle, L. (2017). Self-modeling and self-awareness. In Self-Aware Computing Systems (pp. 279-304). Springer. https://doi.org/10.1007/978-3-319-47474-8_9