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Tutorial on Agent-based Modeling and Simulation Part 2: How to Model with Agents

Charles M. Macal, Michael J. North
Agent-based modeling and simulation (ABMS) is a new approach to modeling systems comprised of interacting autonomous agents. ABMS promises to have far-reaching effects on the way that businesses use computers to support decision-making and researchers use electronic laboratories to do research. Some have gone so far as to contend that ABMS is a new way of doing science. Computational advances make possible a growing number of agent-based applications across many fields. Applications range from modeling agent behavior in the stock market and supply chains, to predicting the spread of epidemics and the threat of bio-warfare, from modeling the growth and decline of ancient civilizations to modeling the complexities of the human immune system, and many more. This tutorial describes the foundations of ABMS, identifies ABMS toolkits and development methods illustrated through a supply chain example, and provides thoughts on the appropriate contexts for ABMS versus conventional modeling techniques.

WSC '06: Proceedings of the 38th conference on Winter simulation, pages 73--83, 2006, Winter Simulation Conference, Monterey, California
@inproceedings{abm-macalnorth06,
	Author = {Macal, Charles M. and North, Michael J. },
	Booktitle = {WSC '06: Proceedings of the 38th conference on Winter simulation},
	Pages = {73--83},
	Publisher = {Winter Simulation Conference},
	Title = {Tutorial on Agent-based Modeling and Simulation Part 2: How to Model with Agents},
	Year = {2006}}