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Inicio Global Economics and Management Review Got a problem? Agent-based modeling becomes mainstream
Journal Information
Vol. 18. Issue 2.
Pages 33-39 (May - August 2013)
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Vol. 18. Issue 2.
Pages 33-39 (May - August 2013)
DOI: 10.1016/S2340-1540(13)70006-9
Got a problem? Agent-based modeling becomes mainstream
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Rashmi Chaturvedia, Brian Armstronga, Alok Chaturvedib,
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alok@purdue.edu

Corresponding author.
, Dan Dolkc, Paul Drnevichd
a Charles F. Day and Associates, LLC.,Technology Innovation Center, West Lafayette, USA
b Krannert School of Management, Purdue University,West Lafayette, USA
c Naval Post-Graduate School, Monterey, USA
d University of Alabama,Tuscaloosa, USA
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Abstract

Agent-based modeling and simulation (ABS) is emerging as a key technology that is helping to enhance the understanding of social sciences. Systems ranging from organizations to economies and societies can be modeled to provide insights in ways that were previously not possible with quantitative approaches. The Sentient World Simulation (SWS) is an ultra-large-scale ABS developed to capture a comprehensive view of “Whole of Government” operations. The SWS supports a strategic geopolitical perspective that captures the interplay between military operations and the social, political, and economic landscapes. The SWS consists of a synthetic environment that mirrors the real world in all its key aspects. Models of individuals within the synthetic world represent the traits and mimic the behaviors of their real-world counterparts. As models influence each other and the shared synthetic environment, behaviors and trends emerge in the synthetic world as they do in the real world. The SWS reacts to actual events and incorporates newly sensed data from the real world into the virtual environment. Trends in the synthetic world can be analyzed to validate alternate worldviews. The SWS provides an open, unbiased environment in which to implement diverse models. This results in a single holistic framework that integrates existing theories, paradigms, and courses of action.

Keywords:
Virtual worlds
Agent-based modeling
Game theory
Simulation
Emergent phenomena

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