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Innovative Approaches in Agent-Based Modelling and Business Intelligence

  • Book
  • © 2018

Overview

  • 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

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

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Table of contents (19 chapters)

Keywords

About this book

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.

Editors and Affiliations

  • Graduate School of Business Sciences, University of Tsukuba, Tokyo, Japan

    Setsuya Kurahashi

  • Keio University, Yokohama, Japan

    Hiroshi Takahashi

About the editors

Setsuya Kurahashi

Graduate School of Business Sciences

University of Tsukuba

Tokyo

Japan

 

Hiroshi Takahashi

Graduate School of Business Administration

Keio University

Yokohama-city

Japan

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