Hidden order: how adaptation builds complexity
Hidden order: how adaptation builds complexity
Would-be worlds: how simulation is changing the frontiers of science
Would-be worlds: how simulation is changing the frontiers of science
The sciences of the artificial (3rd ed.)
The sciences of the artificial (3rd ed.)
Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
The Unified Modeling Language user guide
The Unified Modeling Language user guide
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
On agent-based software engineering
Artificial Intelligence
Tears and fears: modeling emotions and emotional behaviors in synthetic agents
Proceedings of the fifth international conference on Autonomous agents
Computer Science Logo Style: Symbolic Computing
Computer Science Logo Style: Symbolic Computing
Simulation for the Social Scientist
Simulation for the Social Scientist
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)
Generative Social Science: Studies in Agent-Based Computational Modeling (Princeton Studies in Complexity)
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
A framework for modeling mosquito vectors
Proceedings of the 2010 Summer Computer Simulation Conference
An agent-based genetically-aware entomological model
Proceedings of the 2011 Workshop on Agent-Directed Simulation
Using ABMS to simulate emergency departments
Proceedings of the Winter Simulation Conference
A Framework for Modeling Genetically-Aware Mosquito Vectors for Sterile Insect Technique
International Journal of Agent Technologies and Systems
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. 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," in addition to traditional deductive and inductive reasoning (Axelrod 1997). 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, the threat of bio-warfare, and the factors responsible for the fall of ancient civilizations. This tutorial describes the theoretical and practical foundations of ABMS, identifies toolkits and methods for developing agent models, and illustrates the development of a simple agent-based model.