Exploring the World of Agent-Based Simulations: Simple Models, Complex Analyses

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Sanchez, Susan M.
Lucas, Thomas W.
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2002
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2002
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Abstract
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.
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Article
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Proceedings of the 2002 Winter Simulation Conference, 116-126.
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https://hdl.handle.net/10945/35332
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Operations Research (OR)
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Sanchez, S. M. and T. W. Lucas. 2002. "Agent-based simulations: Simple models, complex analyses," Proceedings of the 2002 Winter Simulation Conference, 116-126.
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defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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