Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Stimulation

Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Stimulation

by Michael J. North, Charles Macal
     
 

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

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Overview

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.

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Product Details

ISBN-13:
9780195172119
Publisher:
Oxford University Press
Publication date:
03/01/2007
Edition description:
New Edition
Pages:
328
Product dimensions:
10.10(w) x 6.90(h) x 1.10(d)

Meet the Author

Michael J. North, MBA, Ph.D., is the Deputy Director of the Center for Complex Adaptive Agent Systems Simulation within the Decision and Information Sciences Division of Argonne and the University of Chicago.

Charles M. Macal, Ph.D., P.E., is the Director of the Center for Complex Adaptive Agent Systems Simulation within the Decision and Information Sciences Division of Argonne National Laboratory

Table of Contents

1. The Challenge
2. The ABMS Paradigm
3. Agents Up Close
4. The Roots of ABMS
5. The Role of ABMS
6. Discovering Agents and Agent Behaviors
7. Office ABMS
8. How to Do Desktop ABMS
9. How to Do Participatory ABMS
10. How to Do Large-Scale ABMS
11. ABMS Verification and Validation
12. A Visual Approach to Data Collection and Cleaning
13. Understanding and Presenting ABMS Results
14. ABMS Project Management
15. Rising to the Challenge

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