Agent-Based Modeling: The Right Mathematics for the Social Sciences?
This study provides a basic introduction to agent-based modeling (ABM) as a powerful blend of classical and constructive mathematics, with a primary focus on its applicability for social science research. The typical goals of ABM social science researchers are discussed along with the culture-dish nature of their computer experiments. The applicability of ABM for science more generally is also considered, with special attention to physics. Finally, two distinct types of ABM applications are summarized in order to illustrate concretely the duality of ABM: Real-world systems can not only be simulated with verisimilitude using ABM; they can also be efficiently and robustly designed and constructed on the basis of ABM principles.
|Date of creation:||05 Jul 2010|
|Contact details of provider:|| Postal: Iowa State University, Dept. of Economics, 260 Heady Hall, Ames, IA 50011-1070|
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- Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, EconWPA, revised 15 Aug 2002.
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- LeBaron, Blake & Tesfatsion, Leigh S., 2008. "Modeling Macroeconomies As Open-Ended Dynamic Systems of Interacting Agents," Staff General Research Papers Archive 12973, Iowa State University, Department of Economics.
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