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首页> 外文会议>Bayesian Inference and Maximum Entropy Methods in Science and Engineering >The Information Revolution Is Yet To Come (An Homage To Claude E. Shannon)
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The Information Revolution Is Yet To Come (An Homage To Claude E. Shannon)

机译：信息革命尚未到来（致敬克劳德·E·香农）

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The life and works of Claude Shannon are reviewed from a perspective broader than usual. In particular it is explored the idea that, in the long term, Shannon's major significance will not be due to the aspects most commonly praised, but to the fact that he was a pioneer on the way to a new conception of Science. The paper focuses on his mathematical theory of communication and the criticisms it has received from different fields. From the new framework of analysis its greatest contribution becomes the introduction of information-theoretic entropy as a concept belonging to probability theory. It is discussed the inadequacy of referring to Shannon's theory as "the theory of transmission of information" or as "information theory", as it is customary. It is proposed instead that the term "information theory" be reserved for a theory of knowledge. More specifically, the true information revolution is identified as the formulation of Science as a probabilistic logical inference theory founded on semantics, using plausible logic languages with observations.
机译：克劳德·香农（Claude Shannon）的生活和作品从一个比平常更广阔的角度进行了回顾。特别地，人们探讨了这样一种观点，即从长远来看，香农的主要意义并不在于人们最普遍赞扬的方面，而是在于他是通往科学新观念的先驱者。本文着重于他的传播数学理论及其从不同领域受到的批评。从新的分析框架中，它最大的贡献就是引入了信息理论熵作为概率论的一个概念。讨论了将香农的理论称为习惯上的“信息传递理论”或“信息理论”的不足之处。相反，建议保留术语“信息理论”以用于知识理论。更具体地说，真正的信息革命被认为是科学的表述，它是一种基于语义的概率逻辑推理理论，它使用带有观察性的合理逻辑语言。

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