Innovative Approaches in Agent-Based Modelling and Business Intelligence
Editors: Kurahashi, Setsuya, Takahashi, Hiroshi (Eds.)
Free Preview- 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
書籍の購入
- この書籍について
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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
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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)
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Gallery for Evolutionary Computation and Artificial Intelligence Researches: Where Do We Come from and Where Shall We Go
Pages 1-8
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Mathematical Technologies and Artificial Intelligence Toward Human-Centric Innovation
Pages 9-22
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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
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Information Technology and Finance
Pages 43-51
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Two Phase Transitions in the Adaptive Voter Model Based on the Homophily Principle
Pages 53-64
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Table of contents (19 chapters)
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書誌情報
- Bibliographic Information
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- Book Title
- Innovative Approaches in Agent-Based Modelling and Business Intelligence
- Editors
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- 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
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