discovering strategic solutions with agent-based modeling and simulation /
Michael J. North and Charles M. Macal.
New York :
Oxford University Press,
2007.
xi, 313 pages :
illustrations, map ;
26 cm
Includes bibliographical references and index.
The challenge -- The ABMS paradigm -- Agents up close -- The roots of ABMS -- The role of ABMS -- Discovering agents and agent behaviors -- Office ABMS -- How to do desktop ABMS -- How to do participatory ABMS -- How to do large-scale ABMS -- ABMS verification and validation -- A visual approach to data collection and cleaning -- Understanding and presenting ABMS results -- ABMS project management -- Rising to the challenge.
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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.--Publisher's description.