Objective Information Theory [E-Book] / by Jianfeng Xu, Shuliang Wang, Zhenyu Liu, Yashi Wang, Yingfei Wang, Yingxu Dang.
Objective Information Theory (OIT) is proposed to represent and compute the information in a large-scale complex information system with big data in this monograph. To formally analyze, design, develop, and evaluate the information, OIT interprets the information from essential nature, measures the...
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Full text |
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Personal Name(s): | Xu, Jianfeng, author |
Dang, Yingxu, author / Liu, Zhenyu, author / Wang, Shuliang, author / Wang, Yashi, author / Wang, Yingfei, author | |
Edition: |
1st edition 2023. |
Imprint: |
Singapore :
Springer,
2023
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Physical Description: |
XI, 97 pages 1 illustration (online resource) |
Note: |
englisch |
ISBN: |
9789811999291 |
DOI: |
10.1007/978-981-19-9929-1 |
Series Title: |
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SpringerBriefs in Computer Science
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Subject (LOC): |
- Chapter 1. Information Theory on Change to Reflection
- Chapter 2. Recognizing Objective Information. Chapter 3. Modelling Objective Information: Sextuple
- Chapter 4. Measuring Objective Information
- Chapter 5. Exemplifying Objective Information: Air Traffic Control System
- Chapter 6. Exemplifying Objective Information Theory: Smart Court.