Exploring the World of Agent-Based Simulations: Simple Models, Complex Analyses
Sanchez, Susan M.
Lucas, Thomas W.
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Agent-based simulations are models where multiple entities sense and stochastically respond to conditions in their local environments, mimicking complex large-scale system be- havior. We provide an overview of some important issues in the modeling and analysis of agent-based systems. Exam- ples are drawn from a range of fields: biological modeling, sociological modeling, and industrial applications, though we focus on recent results for a variety of military applica- tions. Based on our experiences with various agent-based models, we describe issues that simulation analysts should be aware of when embarking on agent-based model devel- opment. We also describe a number of tools (both graphical and analytical) that we have found particularly useful for analyzing these types of simulation models. We conclude with a discussion of areas in need of further investigation.
Proceedings of the 2002 Winter Simulation Conference, 116-126.SEED Center Paper
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