Objective Information Theory

• Main Authors: Xu, Jianfeng (Author), Wang, Shuliang (Author), Liu, Zhenyu (Author), Wang, Yashi (Author), Wang, Yingfei (Author), Dang, Yingxu (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
• Edition: 1st ed. 2023.
• Series: SpringerBriefs in Computer Science,
• Subjects: Information modeling.; Artificial intelligence > Data processing.; Computer science.; Artificial intelligence.; Information Model.; Data Science.; Computer Science.; Intelligence Infrastructure.; Theory of Computation.
• Online Access: Link to Metadata

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.

Physical Description

XI, 97 p. 1 illus. online resource.

ISBN

9789811999291

ISSN

2191-5776

DOI

10.1007/978-981-19-9929-1

Access

Open Access