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Remarks on the Foundations of Agent-Based Generative Social Science

In: Handbook of Computational Economics

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Author Info
Epstein, Joshua M.
Abstract

This chapter treats a variety of epistemological issues surrounding generative explanation in the social sciences, and discusses the role of agent-based computational models in generative social science.

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This chapter was published in: Leigh Tesfatsion & Kenneth L. Judd (ed.) Handbook of Computational Economics, , chapter 34, pages 1585-1604, 2006.

This item is provided by Elsevier in its series Handbook of Computational Economics with number 2-34.

Handle: RePEc:eee:hecchp:2-34

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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, September. [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., 2006. "Agents Come to Bits: Towards a Constructive Comprehensive Taxonomy of Economic Entities," Staff General Research Papers 12513, Iowa State University, Department of Economics. [Downloadable!]
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  2. Myong-Hun Chang, 2009. "Industry dynamics with knowledge-based competition: a computational study of entry and exit patterns," Journal of Economic Interaction and Coordination, Springer, vol. 4(1), pages 73-114, June. [Downloadable!] (restricted)
  3. 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 2009-11-6.


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