@InProceedings{macal05a,
  author =	 {Charles M. Macal and Michael J. North},
  title =	 {Tutorial on Agent-Based Modeling and Simulation},
  booktitle =	 {Proceedings of the 2005 Winter Simulation
                  Conference},
  year =	 2005,
  abstract =	 {Agent-based modeling and simulation (ABMS) is a new
                  approach to modeling systems comprised of
                  autonomous, interacting 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 support
                  their research. Some have gone so far as to contend
                  that ABMS is a third way of doing science besides
                  deductive and inductive reasoning. Computational
                  advances have made possible a growing number of
                  agentbased applications in a variety of
                  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 consumer behavior to
                  understanding the fall of ancient civilizations, to
                  name a few. This tutorial describes the theoretical
                  and practical foundations of ABMS, identifies
                  toolkits and methods for developing ABMS models, and
                  provides some thoughts on the relationship between
                  ABMS and traditional modeling techniques.},
  url = 	 {http://jmvidal.cse.sc.edu/library/macal05a.pdf},
  cluster = 	 {1236874541555539415}
}