I would like to resort to the usual for the probability theory ' coin-based ' analogy to explain (and first of all for myself) the logic of the co∼eventum mechanics as a logic of experience and chance. Therefore, I decided to use this the simplest random experiment itself, as well as the two its analogies: the ' 'flipping a coin ' and the ' spinning a coin ' to explain the co∼eventum mechanics, which describes the results of a combined experienced random experiment. The simplest example of a random experiment in probability theory is the ' tossing a coin '. Since my theory of uncertainty satises the Kolmogorov axioms of probability theory, to explain this co∼eventum mechanics I will use a way analogous to the already tested one, which explains the theory of probability as a theory of chance describing the results of a random experiment. In addition, I like this new name indicates a direct connection between the co∼event theory and quantum mechanics, which is intended for the physical explanation and description of the conict between quantum observers and quantum observations.
In my opinion, this name best reflects the co∼event-based idea of the new dual theory of uncertainty, which combines the probability theory as a theory of chance, with its dual half, the believability theory as a theory of experience. The co∼eventum mechanics is another name for the co∼event theory, i.e., for the theory of experience and chance which I axiomatized in 2016. This is what I'm trying to do in this work. These books contain exercises and tutorials to improve your practical skills, at all levels!įor a long time, one of my dreams was to describe the nature of uncertainty axiomatically, and it looks like I've finally done it in my co∼eventum mechanics! Now it remains for me to explain to everyone the co∼eventum mechanics in the most approachable way.
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