----- 不确定性知识之解析:可信度建模中的贝叶斯框架
Michael G. Titelbaum presents a new Bayesian framework for modeling rational degrees of belief—the first of its kind to represent rational requirements on agents who undergo certainty loss. He compares the framework to alternative solutions, and applies it to cases in epistemology, decision theory, the theory of identity, and quantum mechanics.
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