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Contribution to Book
Agent-based modeling: the right mathematics for the social sciences?
Elgar Companion to Recent Economic Methodology
  • Paul L. Borrill, REPLICUS Software Corporation
  • Leigh Tesfatsion, Iowa State University
Document Type
Book Chapter
Publication Version
Submitted Manuscript
Publication Date
1-1-2011
Editors
John Bryan Davis and D. Wade Hands
Publisher
Edward Elgar
Place of Publication
New York, NY
Abstract
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.
Comments

This is a working paper of a chapter published in Elgar Companion to Recent Economic Methodology, Ch. 11, John Bryan Davis and D. Wade Hands (eds.), Edward Elgar Publishers, New York, NY, (2011): 228-258.

Citation Information
Paul L. Borrill and Leigh Tesfatsion. "Agent-based modeling: the right mathematics for the social sciences?" Elgar Companion to Recent Economic Methodology (2011) p. 228 - 258
Available at: http://works.bepress.com/leigh-tesfatsion/52/