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 Modeling and Analysis
Simulation Modeling and Analysis
Simulation for the Social Scientist
Simulation for the Social Scientist
Agent-based computational economics: modeling economies as complex adaptive systems
Information Sciences—Informatics and Computer Science: An International Journal
Social theory and agent architectures: prospective issues in rapid-discovery social science
Social Science Computer Review
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
Generative Social Science: Studies in Agent-Based Computational Modeling (Princeton Studies in Complexity)
Proceedings of the 3rd International Conference on Bio-Inspired Models of Network, Information and Computing Sytems
Agent-based modeling and simulation: ABMS examples
Proceedings of the 40th Conference on Winter Simulation
Integrating Data Mining and Agent Based Modeling and Simulation
ICDM '09 Proceedings of the 9th Industrial Conference on Advances in Data Mining. Applications and Theoretical Aspects
MRSA Transmission Reduction Using Agent-Based Modeling and Simulation
INFORMS Journal on Computing
Applying advanced user models and input technologies to augment military simulation-based training
SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
An Agent-Based Modelling Tool (ABMT) for scheduling diagnostic imaging machines
Technology and Health Care
Agent-based modeling and simulation
Winter Simulation Conference
Agent-based TemPerMod simulator cell architecture
ACMOS'11 Proceedings of the 13th WSEAS international conference on Automatic control, modelling & simulation
Direct access agent-based character recognition simulator
BICA'12 Proceedings of the 5th WSEAS congress on Applied Computing conference, and Proceedings of the 1st international conference on Biologically Inspired Computation
Agent based modelling and simulation: toward a new model of customer retention in the mobile market
Proceedings of the 2011 Summer Computer Simulation Conference
An agent based model for evacuation traffic management
Proceedings of the Winter Simulation Conference
Introductory tutorial: agent-based modeling and simulation
Proceedings of the Winter Simulation Conference
A simple agent-based social impact theory model of student stem selection
Proceedings of the Winter Simulation Conference
A dynamic patient network model of hospital-acquired infections
Proceedings of the Winter Simulation Conference
Agent based model of smart grids for ecodistricts
Proceedings of the Fourth Symposium on Information and Communication Technology
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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 1997b). 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 of shopper behavior using spreadsheets.