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            Objective Information Theory

            Thumbnail
            Author(s)
            Xu, Jianfeng
            Wang, Shuliang
            Liu, Zhenyu
            Wang, Yashi
            Wang, Yingfei
            Dang, Yingxu
            Language
            English
            Show full item record
            Abstract
            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.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/159582
            Keywords
            Object Information Theory; Information Space; Structural Framework; Metaverse; Information Model; Information Measure; Information Systems Dynamics; Air Traffic Control System (ATCS); Smart Court SoSs (System of Systems); Textbook; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence; thema EDItEUR::U Computing and Information Technology::UY Computer science
            DOI
            10.1007/978-981-19-9929-1
            ISBN
            9789811999291, 9789811999284
            Publisher
            Springer Nature
            Publisher website
            http://www.springernature.com/oabooks
            Publication date and place
            Singapore, 2023
            Imprint
            Springer Nature Singapore
            Series
            SpringerBriefs in Computer Science,
            Pages
            97
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            Credits


            • logo Investir l'avenirInvestir l'avenir
            • logo MESRIMESRI
            • logo EUEuropean Union
              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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