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Identification and recognition through shape in complex systems

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Computer Aided Systems Theory — EUROCAST '95 (EUROCAST 1995)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1030))

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Abstract

Categorical modelling is a useful tool in the study of systems. The basic idea of categorical shape theory is that, in any approximating situation, the approximations are what encode the only information that the system can analyse. Such approximations are very important in using time-varying complex systems to model system developments. Within this context, basic properties of categorical shape theory are introduced in order to better understand system approximation and construction.

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Authors and Affiliations

  1. Department of Computing Science, University of Stirling, Stirling, Scotland FK9 4LA, UK

    Charles Rattray

Authors
  1. Charles Rattray
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Editor information

Franz Pichler Roberto Moreno Díaz Rudolf Albrecht

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© 1996 Springer-Verlag Berlin Heidelberg

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Rattray, C. (1996). Identification and recognition through shape in complex systems. In: Pichler, F., Díaz, R.M., Albrecht, R. (eds) Computer Aided Systems Theory — EUROCAST '95. EUROCAST 1995. Lecture Notes in Computer Science, vol 1030. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0034747

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  • DOI: https://doi.org/10.1007/BFb0034747

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60748-9

  • Online ISBN: 978-3-540-49358-7

  • eBook Packages: Springer Book Archive

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