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Objective Information Theory / by Jianfeng Xu, Shuliang Wang, Zhenyu Liu, Yashi Wang, Yingfei Wang, Yingxu Dang.

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Format:
Book
Author/Creator:
Xu, Jianfeng, Author.
Wang, Shuliang, Author.
Liu, Zhenyu, Author.
Wang, Yashi., Author.
Wang, Yingfei., Author.
Dang, Yingxu., Author.
Series:
SpringerBriefs in Computer Science, 2191-5776
Language:
English
Subjects (All):
Information modeling.
Artificial intelligence--Data processing.
Artificial intelligence.
Computer science.
Information Model.
Data Science.
Computer Science.
Intelligence Infrastructure.
Theory of Computation.
Local Subjects:
Information Model.
Data Science.
Computer Science.
Intelligence Infrastructure.
Theory of Computation.
Physical Description:
1 online resource (XI, 97 p. 1 illus.)
Edition:
1st ed. 2023.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Summary:
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 information from mathematical properties, and models the information from concept, logic, and physic. As the exemplified applications, Air Traffic Control System (ATCS) and Smart Court SoSs (System of Systems) are introduced for practical OITs. This Open Access book can be used as a technical reference book in the field of information science and also a reference textbook for senior students and graduate ones in related majors.
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.
ISBN:
9789811999291
9811999295
OCLC:
1375648868

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