Paper
15 July 2002 Putting agent-based modeling to work: results of the 4th International Project Albert Workshop
Gary E. Horne, Eileen A. Bjorkman, Trevor Colton
Author Affiliations +
Abstract
Project Albert is an initiative of the US Marine Corps which uses a series of new models and tools, multidisciplinary teams, and the scientific method to explore questions of interest to military planners. Project Albert attempts to address key areas that traditional modeling and simulation techniques often do not capture satisfactorily and uses two data management concepts, data farming and data mining, to assist in identifying areas of interest. The current suite of models used by Project Albert includes four agent-based models that allow agents to interact with each other and produce emergent behaviors. The 4th International Project Albert Workshop was held 6-9 August 2001 in Australia. Workshop participants split into five groups, each of which attempted to apply various combinations of the Project Albert models to answer a series of questions in five areas: Control Operations; Reconnaissance, Surveillance, and Intelligence Force Mix; Precision Maneuver; Mission Area Analysis; and Peace Support Operations. This paper focuses on the methodology used during the workshop, the results of the workshop, and a summary of follow-on work since the workshop.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gary E. Horne, Eileen A. Bjorkman, and Trevor Colton "Putting agent-based modeling to work: results of the 4th International Project Albert Workshop", Proc. SPIE 4716, Enabling Technologies for Simulation Science VI, (15 July 2002); https://doi.org/10.1117/12.474904
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Cited by 1 scholarly publication.
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KEYWORDS
Data modeling

Systems modeling

Weapons

Sensors

Coastal modeling

Data mining

Modeling and simulation

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