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Agent-based Modeling as a Bridge Between Disciplines

In: Handbook of Computational Economics

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Author Info
Axelrod, Robert
Abstract

Using the author's own experiences, this chapter shows how agent-based modeling (ABM) can address research questions common to many disciplines, facilitate interdisciplinary collaboration, provide a useful multidisciplinary tool when the math is intractable, and reveal unity across disciplines. While ABM can be a hard sell, convergence within the agent-based community can enhance the interdisciplinary value of the methodology.

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This chapter was published in: Leigh Tesfatsion & Kenneth L. Judd (ed.) Handbook of Computational Economics, , chapter 33, pages 1565-1584, 2006.

This item is provided by Elsevier in its series Handbook of Computational Economics with number 2-33.

Handle: RePEc:eee:hecchp:2-33

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Related research
This chapter was published in the following book, which is listed on IDEAS:
Leigh Tesfatsion & Kenneth L. Judd (ed.), 2006. "Handbook of Computational Economics," Handbook of Computational Economics, Elsevier, edition 1, volume 2, number 2, June. [Downloadable!] (restricted)
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Find related papers by JEL classification:
C63 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Computational Techniques

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  1. Tesfatsion, Leigh S., 2005. "Agent-Based Computational Modeling And Macroeconomics," Staff General Research Papers 12402, Iowa State University, Department of Economics. [Downloadable!]
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This page was last updated on 2009-12-28.

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