Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation
Michael J. North and Charles M. Macal
Abstract
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 and government 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 and governments to view the future and to understand and anticipate the likely effects of their decisions on their markets, industries, and territories. It thus promises to have far-reaching effects on the way that businesses an ... More
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 and government 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 and governments to view the future and to understand and anticipate the likely effects of their decisions on their markets, industries, and territories. It thus promises to have far-reaching effects on the way that businesses and governments in many areas use computers to support practical decision-making. This book 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 aims to be a complete ABMS resource and also provides a complete collection of ABMS business and government applications resources.
Keywords:
ABMS,
markets,
industries,
territories,
computer support,
agents,
modeling,
simulation,
business applications,
government applications
Bibliographic Information
| Print publication date: 2007 |
Print ISBN-13: 9780195172119 |
| Published to Oxford Scholarship Online: September 2007 |
DOI:10.1093/acprof:oso/9780195172119.001.0001 |
Authors
Affiliations are at time of print publication.
Michael J. North, author
Argonne National Laboratory
Author Webpage
Charles M. Macal, author
Argonne National Laboratory
Author Webpage
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