Aki-Hiro Sato, editor. -- Springer Nature, -- [2019], --

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ISBN 9811071934
ISBN13桁 9789811071935
無効なISBN等 9789811071942 (ebook)
テキストの言語 英語                  
分類:NDC10版 361.4
本タイトル Applications of data-centric science to social design :
タイトル関連情報 qualitative and quantitative understanding of collective human behavior /
著者名 Aki-Hiro Sato, editor.
出版地・頒布地 Singapore :
出版者・頒布者名 Springer Nature,
出版年・頒布年 [2019],
数量 x, 266 pages :
他の形態的事項 illustrations (some color) ;
大きさ 25 cm.
書誌注記 Includes bibliographical references.
内容注記 Part I. Methods for data analysis and design. How to design society from a data-centric point of view / Aki-Hiro Sato ; Practical methods for data analysis / Aki-Hiro Sato ; An approach to product design involving heterogeneous stakeholders / Aki-Hiro Sato ; Designing human-machine systems focusing on benefits of inconvenience / Hiroshi Kawakami -- Part II. Mathematical foundation of human collective behavior. Information cascade and phase transition / Masato Hisakado and Shintaro Mori ; Information cascade, Kirman's Ant Colony Model, and Kinetic Ising Model / Masato Hisakado and Shintaro Mori ; Information cascade and networks / Masato Hisakado and Shintaro Mori ; The Pitman-Yor process and choice behavior / Masato Hisakado and Shintaro Mori ; Domino effect in information cascade / Shitaro Mori and Masato Hisakado ; Information cascade experiment: general knowledge quiz / Shintaro Mori and Masato Hisakado ; Information cascade experiment: urn quiz / Shintaro Mori and Masato Hisakado ; Information cascade and Bayes Formula / Masato Hisakado and Shintaro Mori -- Part III. Applications of data analysis to social design. How betters vote in horse race betting market / Shintaro Mori and Masato Hisakado ; Smart micro-sensing: reaching sustainability in agriculture via distributed sensors in the food chain / R. Dolci and L. Boschis ; High-frequency data analysis of foreign exchange markets / Aki-Hiro Sato ; On measuring extreme synchrony with network entrophy of bipartite graphs / Aki-Hiro Sato.
要約、抄録、注釈等 The intention behind this book is to illustrate the deep relation among human behavior, data-centric science, and social design. In fact, these three issues have been independently developing in different fields, although they are, of course, deeply interrelated to one another. Specifically, fundamental understanding of human behavior should be employed for investigating our human society and designing social systems. Insights and both quantitative and qualitative understandings of collective human behavior are quite useful when social systems are designed. Fundamental principles of human behavior, theoretical models of human behavior, and information cascades are addressed as aspects of human behavior. Data-driven investigation of human nature, social behavior, and societal systems are developed as aspects of data-centric science. As design aspects, how to design social systems from heterogeneous memberships is explained. There is also discussion of these three aspects--human behavior, data-centric science, and social design--independently and with regard to the relationships among them.
著者標目 佐藤 彰洋.
統一タイトル(シリーズ副出標目) Agent-based social systems ;
シリーズの巻次 v. 14.
シリーズ名・巻次 Agent-based social systems, v. 14
一般件名 Human behavior models.
Knowledge management.
資料情報1 『Applications of data-centric science to social design : qualitative and quantitative understanding of collective human behavior /』(Agent-based social systems, v. 14) Aki-Hiro Sato, editor. Springer Nature, [2019], (所蔵館:中央  請求記号:F/361.4/A65/A  資料コード:7112135485)
URL https://catalog.library.metro.tokyo.lg.jp/winj/opac/switch-detail.do?lang=ja&bibid=1352039817