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A Categorical Approach to Probability Theory
被引:0
|作者:
Roman Frič
Martin Papčo
机构:
[1] Slovak Academy of Sciences,Mathematical Institute
[2] Catholic University in Ružomberok,Department of Mathematics, Faculty of Education
来源:
关键词:
probability theory;
fuzzy probability theory;
categorical approach to probability theory;
D-poset of fuzzy sets;
quantum character of a model;
cogenerator;
probability domain;
state;
observable;
random variable;
simplex-valued theory;
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学科分类号:
摘要:
First, we discuss basic probability notions from the viewpoint of category theory. Our approach is based on the following four “sine quibus non” conditions: 1. (elementary) category theory is efficient (and suffices); 2. random variables, observables, probability measures, and states are morphisms; 3. classical probability theory and fuzzy probability theory in the sense of S. Gudder and S. Bugajski are special cases of a more general model; 4. a good model allows natural modifications.
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页码:215 / 230
页数:15
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