Hardcover, x + 284 pages, NOT ex-library. Interior is clean and bright throughout with unmarked text, free of inscriptions and stamps, firmly bound. A bit of external wear: horizontal creases on the lower spine, a gentle scratch on the front board. Issued without a dust jacket.

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Bibliographic Details

Title: Innovative Approaches in Agent-Based Modelling and Business Intelligence (Agent-Based Social Systems, 12)
Publisher: Springer
Publication Date: 2018
Language: English
ISBN 10: 9811318484
ISBN 13: 9789811318481
Binding: Hardcover
Edition: 1st Edition
Condition: Very Good

About this title

Synopsis

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.

About the Author

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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