Analysis on Limitation Origins of Information Theory

Yong Wang⁴,
Huadeng Wang⁴ &
Qiong Cao⁵

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 385))

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International Conference on Intelligent Information Processing

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Abstract

The limitations of Shannon information theory are pointed out from new perspectives. The limitations mainly exist in the neglects of the information reliability and completeness. The significances of the information reliability to the information measurements are further illustrated through example analysis. It is pointed out that such limitations originate from neglects of multi-level information uncertainties, uncertainty of the model and other objects of information system, and insufficient knowledge on uncertainties of probability values.

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Information in the presence of noise. Shannon’s amount of information

What is Shannon information?

Article 17 July 2015

Introduction, Definitions, and Some General Comments on Shannon’s Measure of Information

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Authors and Affiliations

School of Computer Science and Engineering, Guilin University of Electronic Technology, Guilin, 541004, Guangxi Province, China
Yong Wang & Huadeng Wang
Computer Science and Engineering, Chongqing University of Technology, Chongqing, 400050, China
Qiong Cao

Authors

Yong Wang
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Huadeng Wang
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Qiong Cao
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Editors and Affiliations

Institute of Computing Technology, Chinese Academy of Sciences, 100190, Beijing, China
Zhongzhi Shi
Computer Science Department, Indiana University, 47405, Bloomington, IN, USA
David Leake
School of Computing Science and Engineering, University of Salford, M5 4WT, Salford, UK
Sunil Vadera

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Wang, Y., Wang, H., Cao, Q. (2012). Analysis on Limitation Origins of Information Theory. In: Shi, Z., Leake, D., Vadera, S. (eds) Intelligent Information Processing VI. IIP 2012. IFIP Advances in Information and Communication Technology, vol 385. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32891-6_9

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DOI: https://doi.org/10.1007/978-3-642-32891-6_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32890-9
Online ISBN: 978-3-642-32891-6
eBook Packages: Computer ScienceComputer Science (R0)

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