Bridges the real-world, information space and information system
Proposes object information theory on information models, properties and metrics
Presents Air Traffic Control System and China Smart Court SoSs
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Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)
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Table of contents (6 chapters)
About this book
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.
- Object Information Theory
- Information Space
- Structural Framework
- Information Model
- Information Measure
- Information Systems Dynamics
- Air Traffic Control System (ATCS)
- Smart Court SoSs (System of Systems)
- Open Access
Authors and Affiliations
Information Technology Service Center of People#x2019;s Court, Beijing, China
Jianfeng Xu, Yingfei Wang
School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China
Shuliang Wang, Yingxu Dang
School of Information Management for Law, China University of Political Science and Law, Beijing, China
Zhenyu Liu, Yashi Wang
About the authors
Xu Jianfeng received his Ph.D. in software science from Nanjing University in 2001. He is currently the director of Information Technology Service Center of People's Court. His research interests include information systems, systematic engineering of smart court, objective information theory, artificial intelligence, and big data.
Wang Shuliang (corresponding author) is a professor at Beijing Institute of Technology and the executive dean of E-Government Institute. He mainly studies data mining and has written the popular monograph Spatial Data Mining published by Springer Nature. His achievements won him the first prize at the National Science and Technology Progress Award, National Excellent Doctoral Dissertation, and so on.
Liu Zhenyu is an associate professor in the School of Law Information Management at China University of Political Science and Law. He obtained his Ph.D. degree from the University of Birmingham in the UK. His research interests include reinforcement learning, nature-inspired computation, machine learning, and the real-world applications of artificial intelligence in the fields of legal practice.
Wang Yashi is a professor at the School of Law Information Management at China University of Political Science and Law. Her main research areas are applied probability theory, reliability theory, and random risk comparison.
Wang Yingfei received her Ph.D. degree in computational mathematics from Wuhan University in 2016. She is currently with Information Technology Service Center of People's Court. Her current research interests include objective information theory, big data, complex networks, and nonlinear dynamics.
Dang Yingxu is a master student at the School of Computer Science and Technology, Beijing Institute of Technology. His research interests include data mining, artificial intelligence, and object prediction.
Book Title: Objective Information Theory
Authors: Jianfeng Xu, Shuliang Wang, Zhenyu Liu, Yashi Wang, Yingfei Wang, Yingxu Dang
Series Title: SpringerBriefs in Computer Science
Publisher: Springer Singapore
Copyright Information: The Author(s) 2023
License: CC BY
Softcover ISBN: 978-981-19-9928-4Published: 05 April 2023
eBook ISBN: 978-981-19-9929-1Published: 04 April 2023
Series ISSN: 2191-5768
Series E-ISSN: 2191-5776
Edition Number: 1
Number of Pages: XI, 97
Number of Illustrations: 1 b/w illustrations