Agent-Based Social Systems

Innovative Approaches in Agent-Based Modelling and Business Intelligence

Editors: Kurahashi, Setsuya, Takahashi, Hiroshi (Eds.)

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  • Presents collaborative studies between computational social science and business science using agent-based modeling and gaming
  • Focuses on business intelligence fields through artificial intelligence techniques such as text mining and agent technologies
  • Includes leading authors—Nigel Gilbert, Thomas Lux, and Wander Jager—in the field of European social and finance simulation studies
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  • ISBN 978-981-13-1849-8
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この書籍について

This book thoroughly prepares intermediate-level readers for research in social science, organization studies, economics, finance, marketing science, and business science as complex adaptive systems. It presents the advantages of social simulation studies and business intelligence to those who are not familiar with the computational research approach, and offers experienced modelers various instructive examples of using agent-based modeling and business intelligence approaches to inspire their own work. In addition, the book discusses cutting-edge techniques for complex adaptive systems using their applications.

To date, business science studies have focused only on data science and analyses of business problems. However, using these studies to enhance the capabilities of conventional techniques in the fields has not been investigated adequately. This book addresses managing the issues of societies, firms, and organizations to profit from interaction with agent-based modeling, human- and computer- mixed systems, and business intelligence approaches, an area that is fundamental for complex but bounded rational business environments.
With detailed research by leading authors in the field, Innovative Approaches in Agent-Based Modelling and Business Intelligence inspires readers to join with other disciplines and extend the scope of the book with their own unique contributions. It also includes the common challenges encountered in computational social science and business science to enable researchers, students, and professionals to resolve their own problems.

著者について

Setsuya Kurahashi

Graduate School of Business Sciences

University of Tsukuba

Tokyo

Japan

 

Hiroshi Takahashi

Graduate School of Business Administration

Keio University

Yokohama-city

Japan

Table of contents (19 chapters)

Table of contents (19 chapters)
  • Gallery for Evolutionary Computation and Artificial Intelligence Researches: Where Do We Come from and Where Shall We Go

    Pages 1-8

    Terano, Takao

  • Mathematical Technologies and Artificial Intelligence Toward Human-Centric Innovation

    Pages 9-22

    Ohori, Kotaro (et al.)

  • Study on the Social Perspectives of Traffic Congestion in Sri Lanka Through Agent-Based Modeling and Simulation: Lessons Learned and Future Prospects

    Pages 23-41

    Rajapakse, Chathura (et al.)

  • Information Technology and Finance

    Pages 43-51

    Takahashi, Hiroshi

  • Two Phase Transitions in the Adaptive Voter Model Based on the Homophily Principle

    Pages 53-64

    Ishikawa, Takashi

書籍の購入

イーブック n/a
  • ISBN 978-981-13-1849-8
  • ウォーターマーク付、 DRMフリー
  • ファイル形式: PDF, EPUB
  • どの電子書籍リーダーからでもすぐにお読みいただけます。
ハードカバー n/a
  • ISBN 978-981-13-1848-1
  • 個人のお客様には、世界中どこでも配送料無料でお届けします。
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Bibliographic Information
Book Title
Innovative Approaches in Agent-Based Modelling and Business Intelligence
Editors
  • Setsuya Kurahashi
  • Hiroshi Takahashi
Series Title
Agent-Based Social Systems
Series Volume
12
Copyright
2018
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
イーブック ISBN
978-981-13-1849-8
DOI
10.1007/978-981-13-1849-8
ハードカバー ISBN
978-981-13-1848-1
Series ISSN
1861-0803
Edition Number
1
Number of Pages
X, 284
Number of Illustrations
116 b/w illustrations
Topics