The visual display of quantitative information
The visual display of quantitative information
Introduction to Multiagent Systems
Introduction to Multiagent Systems
Case study in modeling and simulation validation methodology
Proceedings of the 33nd conference on Winter simulation
Hierarchical Model for Real Time Simulation of Virtual Human Crowds
IEEE Transactions on Visualization and Computer Graphics
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Campaign analysis: representation of historical events in a military campaign simulation model
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Agent modeling: the use of agent-based models in military concept development
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Models, composability, and validity
Models, composability, and validity
Web-Based Monitoring and Visualization of Self-Organizing Process Control Agents
IWSOS '08 Proceedings of the 3rd International Workshop on Self-Organizing Systems
A use-case approach to the validation of social modeling and simulation
SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
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Human behavior representation (HBR) models simulate human behaviors and responses. The Joint Crowd Federate TM cognitive model developed by the Virginia Modeling, Analysis, and Simulation Center (VMASC) and licensed by WernerAnderson, Inc., models the cognitive behavior of crowds to provide credible crowd behavior in support of military training, exercise support, and wargaming experiments and can be federated with semi-automated forces (SAF) simulations. Other possible uses include training support to emergency management and security personnel. The large parameter spaces and behavior complexities associated with HBR can make validating these simulations difficult, but with a multipronged approach, it is not impossible. A comprehensive approach investigates not only the results of the simulation but also the mathematical instantiation in the conceptual model. This article demonstrates a technique developed to understand the mathematical instantiation of the parameter space embodied by our HBR model and the effects of different parameterizations on the model's initialization space.