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The logic of uncertainty as a logic of experience and chance and the co~event-based Bayes' theorem

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  • Oleg Yu Vorobyev

Abstract

The logic of uncertainty is not the logic of experience and as well as it is not the logic of chance. It is the logic of experience and chance. Experience and chance are two inseparable poles. These are two dual reflections of one essence, which is called co~event. The theory of experience and chance is the theory of co~events. To study the co~events, it is not enough to study the experience and to study the chance. For this, it is necessary to study the experience and chance as a single entire, a co~event. In other words, it is necessary to study their interaction within a co~event. The new co~event axiomatics and the theory of co~events following from it were created precisely for these purposes. In this work, I am going to demonstrate the effectiveness of the new theory of co~events in a studying the logic of uncertainty. I will do this by the example of a co~event splitting of the logic of the Bayesian scheme, which has a long history of fierce debates between Bayesianists and frequentists. I hope the logic of the theory of experience and chance will make its modest contribution to the application of these old dual debaters.

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  • Oleg Yu Vorobyev, 2018. "The logic of uncertainty as a logic of experience and chance and the co~event-based Bayes' theorem," Papers 1810.01310, arXiv.org.
    • Handle: RePEc:arx:papers:1810.01310
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    1. Vorobyev, Oleg Yu., 2016. "An element-set labelling a Cartesian product by measurable binary relations which leads to postulates of the theory of experience and chance as a theory of co~events," MPRA Paper 81891, University Library of Munich, Germany.
    2. Ramsey, Frank P., 1926. "Truth and Probability," Histoy of Economic Thought Chapters, in: Braithwaite, R. B. (ed.),The Foundations of Mathematics and other Logical Essays, chapter 7, pages 156-198, McMaster University Archive for the History of Economic Thought.
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