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Self-modeling and Self-awareness

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Self-Aware Computing Systems

Abstract

The purpose of this chapter is to discuss why self-aware systems must 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 self-modeling. 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.

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Author information

Authors and Affiliations

  1. Topcy House Consulting, Thousand Oaks, CA, USA

    Kirstie L. Bellman & Christopher Landauer

  2. California State Polytechnic University, Pomona, CA, USA

    Phyllis Nelson

  3. Aston University, Birmingham, UK

    Nelly Bencomo & Peter Lewis

  4. TU Dresden, Dresden, Germany

    Sebastian Götz

  5. Alpen-Adria-Universität Klagenfurt, Klagenfurt, Austria

    Lukas Esterle

Authors
  1. Kirstie L. Bellman
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  2. Christopher Landauer
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  3. Phyllis Nelson
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  4. Nelly Bencomo
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  5. Sebastian Götz
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  6. Peter Lewis
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  7. Lukas Esterle
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Corresponding author

Correspondence to Kirstie L. Bellman .

Editor information

Editors and Affiliations

  1. University of Würzburg, Würzburg, Germany

    Samuel Kounev

  2. Thomas J. Watson Research Center, Hawthorne, New York, USA

    Jeffrey O. Kephart

  3. University of Würzburg, Würzburg, Germany

    Aleksandar Milenkoski

  4. VMWare Inc.Futurewei Technologies, Inc. , Santa Clara, California, USA

    Xiaoyun Zhu

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Bellman, K.L. et al. (2017). Self-modeling and Self-awareness. In: Kounev, S., Kephart, J., Milenkoski, A., Zhu, X. (eds) Self-Aware Computing Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-47474-8_9

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  • DOI: https://doi.org/10.1007/978-3-319-47474-8_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47472-4

  • Online ISBN: 978-3-319-47474-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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