Abstract
Most applications of computing deal with real-life systems: we need to predict the behavior of such systems, we need to find the best way to change their behavior, etc. In all these tasks, we first need to describe the system’s behavior in precise terms - i.e., in terms understandable to a computer, and then use the resulting description to analyze these systems. In this chapter, following the general ideas of Chapter 1, we show that symmetries and similarities can help with such description and analysis.
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© 2015 Springer-Verlag Berlin Heidelberg
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Nava, J., Kreinovich, V. (2015). Algorithmic Aspects of Real-Life Systems Analysis: Approach Based on Symmetry and Similarity. In: Algorithmic Aspects of Analysis, Prediction, and Control in Science and Engineering. Studies in Systems, Decision and Control, vol 14. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44955-4_2
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DOI: https://doi.org/10.1007/978-3-662-44955-4_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-44954-7
Online ISBN: 978-3-662-44955-4
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