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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© 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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