Theoretical steps towards modelling resilience in complex systems

Cathy Hawes, Chris Reed

    Research output: Chapter in Book/Report/Conference proceedingChapter

    19 Citations (Scopus)

    Abstract

    This paper reports on theoretical work aimed at providing a harmonious set of tools for tackling the thorny problem of resilience in complex systems. Specifically, key features of resilience are laid out, and the ramifications on necessary theoretical and implementational machinery are analysed. These ramifications constitute a problem definition that, to the authors' knowledge, no extant system is sufficiently sophisticated to meet. It is, however, possible to identify existing components that can be combined to provide the necessary expressivity. In particular, theoretical ecology has individual based modelling approaches that are consonant with artificial intelligence techniques in multi-agent systems, and in philosophical logic, channel theory provides a mechanism for modelling both system energy and system information flow. The paper demonstrates that it is possible to integrate these components into a coherent theoretical framework, laying a foundation for implementation and testing.
    Original languageEnglish
    Title of host publicationComputational Science and Its Applications - ICCSA 2006
    Subtitle of host publicationInternational Conference, Glasgow, UK, May 8-11, 2006. Proceedings, Part I
    EditorsMarina Gavrilova, Osvaldo Gervasi, Vipin Kumar, C. J. Kenneth Tan, David Taniar, Antonio Laganà, Youngsong Mun, Hyunseung Choo
    Place of PublicationBerlin and New York
    PublisherSpringer
    Pages644-653
    Number of pages10
    Volume3980 LNCS
    ISBN (Electronic)9783540340713
    ISBN (Print)9783540340706
    DOIs
    Publication statusPublished - 1 Jan 2006

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  • Cite this

    Hawes, C., & Reed, C. (2006). Theoretical steps towards modelling resilience in complex systems. In M. Gavrilova, O. Gervasi, V. Kumar, C. J. Kenneth Tan, D. Taniar, A. Laganà, Y. Mun, & H. Choo (Eds.), Computational Science and Its Applications - ICCSA 2006: International Conference, Glasgow, UK, May 8-11, 2006. Proceedings, Part I (Vol. 3980 LNCS, pp. 644-653). Springer . https://doi.org/10.1007/11751540_68