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Modeling complex natural and human systems to support policy or management decision making is becoming increasingly common. The resulting models are often designed and implemented by researchers or domain experts with limited software engineering expertise. To help this important audience, we present our experience and share lessons learned from the design and implementation of an agent-based model...
In this paper we apply 3D printing and genetic algorithm-generated anticipatory system dynamics models to a homeland security challenge, namely understanding the interface between transnational organized criminal networks and local gangs. We apply 3D printing to visualize the complex criminal networks involved. This allows better communication of the network structures and clearer understanding of...
An agent-based model is used to simulate a developing region population, disease burden, health care infrastructure and estimate the impact of resource investment decisions on population health and health care costs. In this approach, the primary agents are individual health care facilities, capturing population characteristics, facility catchment population, and facility diagnostic capacity and strategies...
Agent-based simulation (ABS) is an approach to modeling systems comprised of individual, autonomous, interacting “agents.” Agent-based modeling offers ways to more easily model individual behaviors and how behaviors affect others in ways that have not been available before. There is much interest in developing agent-based models for many application problem domains. Applications range from modeling...
Since they were first introduced by architect Christopher Alexander in his classic book The Timeless Way of Building, design patterns have offered a powerful yet simple way to conceptualize and communicate designs in many disciplines. Design patterns became widely used for software development by the 1990's. These software design patterns have subsequently been shown to be of great value in improving...
Agent-based modeling and simulation (ABMS) is an approach to modeling systems comprised of individual, autonomous, interacting “agents.” There is much interest in many application problem domains in developing agent-based models. Agent-based modeling offers ways to model individual behaviors and how behaviors affect others in ways that have not been available before. Applications range from modeling...
Agent-based simulation (ABS) is a relatively recent modeling technique that is being widely used to model complex adaptive systems by many disciplines. Few full length courses exist on agent-based modeling and a standard curriculum has not yet been established, but there is considerable demand to include ABS into simulation courses. Modelers often come to agent-based simulation by way of self-study...
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