Objective Information Theory / / 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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| Superior document: | SpringerBriefs in Computer Science, |
|---|---|
| VerfasserIn: | |
| Place / Publishing House: | Singapore : : Springer Nature Singapore :, Imprint: Springer,, 2023. |
| Year of Publication: | 2023 |
| Edition: | 1st ed. 2023. |
| Language: | English |
| Series: | SpringerBriefs in Computer Science,
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| Physical Description: | 1 online resource (XI, 97 p. 1 illus.) |
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Table of Contents:
- 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.