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Entropy and Monotonicity

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 854))

Abstract

Measuring the information provided by the observation of events has been a challenge for seventy years, since the simultaneous inception of entropy by Claude Shannon and Norbert Wiener in 1948. Various definitions have been proposed, depending on the context, the point of view and the chosen knowledge representation. We show here that one of the most important common feature in the choice of an entropy is its behavior with regard to the refinement of information and we analyse various definitions of monotonicity.

A homage to Claude Shannon and Norbert Wiener for the 70th anniversary of their inception of entropy.

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Notes

  1. 1.

    In the following, for the sake of simplicity, \(w_{x_i}\) will be denoted \(w_i\) when the meaning of i is clear.

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Correspondence to Christophe Marsala .

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Bouchon-Meunier, B., Marsala, C. (2018). Entropy and Monotonicity. In: Medina, J., et al. Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations. IPMU 2018. Communications in Computer and Information Science, vol 854. Springer, Cham. https://doi.org/10.1007/978-3-319-91476-3_28

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  • DOI: https://doi.org/10.1007/978-3-319-91476-3_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-91475-6

  • Online ISBN: 978-3-319-91476-3

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