Hidden order: how adaptation builds complexity
Hidden order: how adaptation builds complexity
Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
On agent-based software engineering
Artificial Intelligence
Computer Science Logo Style: Symbolic Computing
Computer Science Logo Style: Symbolic Computing
Business Dynamics
Experiences creating three implementations of the repast agent modeling toolkit
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation
Simulation Modeling and Analysis (McGraw-Hill Series in Industrial Engineering and Management)
Simulation Modeling and Analysis (McGraw-Hill Series in Industrial Engineering and Management)
Agent-based modeling and simulation: desktop ABMS
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
BioWar: scalable agent-based model of bioattacks
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Distributed computing environment for community and social health studies
ICANCM'11/ICDCC'11 Proceedings of the 2011 international conference on applied, numerical and computational mathematics, and Proceedings of the 2011 international conference on Computers, digital communications and computing
Introductory tutorial: agent-based modeling and simulation
Proceedings of the Winter Simulation Conference
Cross-paradigm simulation modeling: challenges and successes
Proceedings of the Winter Simulation Conference
Product design patterns for agent-based modeling
Proceedings of the Winter Simulation Conference
Proceedings of the Winter Simulation Conference
Toward teaching agent-based simulation
Proceedings of the Winter Simulation Conference
To agent-based simulation from system dynamics
Proceedings of the Winter Simulation Conference
Proceedings of the Winter Simulation Conference
Generating realistic online auction data
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
An agent-based model to simulate coordinated response to malware outbreak within an organisation
International Journal of Information and Computer Security
Clustering Social Networks to Remove Neutral Nodes
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
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Agent-based modeling and simulation (ABMS) is a new approach to modeling systems comprised of autonomous, interacting agents. Computational advances have made possible a growing number of agent-based models across a variety of application domains. Applications range from modeling agent behavior in the stock market, supply chains, and consumer markets, to predicting the spread of epidemics, mitigating the threat of bio-warfare, and understanding the factors that may be responsible for the fall of ancient civilizations. Such progress suggests the potential of ABMS to have far-reaching effects on the way that businesses use computers to support decision-making and researchers use agent-based models as electronic laboratories. Some contend that ABMS "is a third way of doing science" and could augment traditional deductive and inductive reasoning as discovery methods. This brief tutorial introduces agent-based modeling by describing the foundations of ABMS, discussing some illustrative applications, and addressing toolkits and methods for developing agent-based models.