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Nonstochastic Randomness

In: Decision Systems and Nonstochastic Randomness

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  • V. I. Ivanenko

    (Kyviv Polytechnic Institute)

Abstract

The results of Chapter 3 allow us to look in a new way at the problem of decision-making under uncertainty as a whole. Let us begin by noticing that in research in this field there is one at first sight terminological, but in fact rather fundamental, confusion. Some authors, following [46], mention only two types of behavior of the cause–effect mechanism that generates consequences: (1) so-called complete uncertainty, or just uncertainty, when nothing is known about the mechanism and (2) so-called risk, when consequences are random with a given probability distribution. Others, such as [80] and [79], consider this second variant as one of the main types of uncertainty, and call it correspondingly stochastic uncertainty or a first information situation.

Suggested Citation

  • V. I. Ivanenko, 2010. "Nonstochastic Randomness," Springer Books, in: Decision Systems and Nonstochastic Randomness, edition 1, chapter 0, pages 71-107, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4419-5548-7_4
    DOI: 10.1007/978-1-4419-5548-7_4
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