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Part of the book series: Understanding Complex Systems ((UCS))

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Abstract

Let us take a closer look at Wiener’s quote.

Information is information, not matter or energy.

—Norbert Wiener, “Cybernetics”

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Notes

  1. 1.

    Last accessed: March 2nd, 2017.

  2. 2.

    Last accessed: March 2nd, 2017; we added qualifying statements in Wikipedia’s article on PCA, which are omitted here for emphasis.

  3. 3.

    In this and the following quotes in this section, emphasis has been added by the present authors.

  4. 4.

    Interestingly, the mathematical problem leading to the information bottleneck method is much older. It has been analyzed by Witsenhausen and Wyner in [WW75].

  5. 5.

    Throughout this work, the preimage under a function is indicated with square brackets rather than parenthesis to avoid confusion with the inverse function \(g^{-1}(\cdot )\) (if it exists). Moreover, for singletons the curly brackets will be omitted, i.e., \(g^{-1}[y]:=g^{-1}[\{y\}]\).

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Correspondence to Bernhard C. Geiger .

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Geiger, B.C., Kubin, G. (2018). Introduction. In: Information Loss in Deterministic Signal Processing Systems. Understanding Complex Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-59533-7_1

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  • DOI: https://doi.org/10.1007/978-3-319-59533-7_1

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