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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(对克劳德E. Shannon的致敬)

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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:Claude Shannon的生活和作品从比平时更广泛的视角审查。特别是,探索了这一想法,即长期香农的主要意义不会是由于最常见的方面,而是为了让他成为一个新的科学观念的先驱。本文重点介绍了他从不同领域收到的批判的数学理论。从新的分析框架来看,它的最大贡献成为信息理论熵作为属于概率理论的概念。讨论了将香农理论为“信息传播理论”或“信息理论”的不足之处,因为它是习惯性的。建议术语“信息理论”术语被保留用于知识理论。更具体地说,真正的信息革命被确定为科学的制定作为在语义上创立的概率逻辑推理理论,使用与观测的合理逻辑语言为基础。

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