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
Studia Logica | 2010年 / 94卷
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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