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Agent-based modeling and simulation (ABMS), a way to simulate a large number of choices by individual actors, is one of the most exciting practical developments in business modeling since the invention of relational databases. It represents a new way to understand data and generate information that has never been available before--a way for businesses to view the future and to understand and anticipate the likely effects of their decisions on their markets and industries. It thus promises to have far-reaching effects on the way that businesses in many areas use computers to support practical decision-making.Managing Business Complexity is the first complete business-oriented agent-based modeling and simulation resource. It has three purposes: first, to teach readers how to think about ABMS, that is, about agents and their interactions; second, to teach readers how to explain the features and advantages of ABMS to other people and third, to teach readers how to actually implement ABMS by building agent-based simulations. It is intended to be a complete ABMS resource, accessible to readers who haven't had any previous experience in building agent-based simulations, or any other kinds of models, for that matter. It is also a collection of ABMS business applications resources, all assembled in one place for the first time. In short, Managing Business Complexity addresses who needs ABMS and why, where and when ABMS can be applied to the everyday business problems that surround us, and how specifically to build these powerful agent-based models.
This book investigates how agent-based modeling and simulation (ABMS) can be utilized to navigate and solve complex business problems by simulating the individual choices of actors within a system. Authors Charles M. Macal and Michael J. North, both experts in computational modeling, provide a comprehensive framework for understanding, explaining, and implementing ABMS. They argue that this methodology offers a unique perspective on data analysis, allowing organizations to anticipate market shifts and the consequences of strategic decisions with unprecedented clarity. The text serves as a practical manual for integrating these simulations into standard business decision-making processes.
What You Will Find
Experts recognize this work as a foundational resource for professionals and students seeking to apply computational modeling to business strategy. Readers frequently note that the text successfully bridges the gap between complex technical theory and practical, accessible application for those without prior modeling experience.
Page Count:
328
Publication Date:
2007-03-01
Publisher:
Oxford University Press
ISBN-10:
0195172116
ISBN-13:
9780195172119
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