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Innovative Approaches in Agent-Based Modelling and Business Intelligence

  • Setsuya Kurahashi
  • Hiroshi Takahashi

Part of the Agent-Based Social Systems book series (ABSS, volume 12)

Table of contents

  1. Front Matter
    Pages i-x
  2. Hiroshi Takahashi
    Pages 43-51
  3. Hiroaki Jotaki, Yasuo Yamashita, Satoru Takahashi, Hiroshi Takahashi
    Pages 77-93
  4. Setsuya Kurahashi
    Pages 139-156
  5. Toru B. Takahashi
    Pages 221-235
  6. Wander Jager, Geeske Scholz, Reńe Mellema, Setsuya Kurahashi
    Pages 237-252
  7. Takashi Yamada
    Pages 269-284

About this book

Introduction

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.

Keywords

Agent-Based Modelling in Economics Agent-Based Modelling in Finance Social Simulation Business Intelligence Human-Mixed Systems Computer-Mixed Systems

Editors and affiliations

  • Setsuya Kurahashi
    • 1
  • Hiroshi Takahashi
    • 2
  1. 1.Graduate School of Business SciencesUniversity of TsukubaTokyoJapan
  2. 2.Keio UniversityYokohamaJapan

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-13-1849-8
  • Copyright Information Springer Nature Singapore Pte Ltd. 2018
  • Publisher Name Springer, Singapore
  • eBook Packages Economics and Finance
  • Print ISBN 978-981-13-1848-1
  • Online ISBN 978-981-13-1849-8
  • Series Print ISSN 1861-0803
  • Buy this book on publisher's site