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Agent-Based Computational Economics: A Brief Guide to the Literature

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Author Info
Leigh Tesfatsion (Iowa State University)

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Abstract

Agent-based computational economics (ACE)is the computational study of economies modelled as evolving systems of autonomous interacting agents. This short paper is a brief guide to recent ACE research. For more information, visit the ACE Web site at http://www.econ.iastate.edu/tesfatsi/ace.htm. Resources available at the ACE Web site include surveys, an annotated syllabus of readings, software, teaching materials, pointers to research on economic and social network formation, and pointers to individual researchers and research groups.

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File URL: http://129.3.20.41/eps/comp/papers/0004/0004001.pdf
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Publisher Info
Paper provided by EconWPA in its series Computational Economics with number 0004001.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 6 pages
Date of creation: 11 Nov 2000
Date of revision:
Handle: RePEc:wpa:wuwpco:0004001

Note: Type of Document - pdf; prepared on IBM PC - PC-TEX; to print on HP/PostScript/; pages: 6 ; figures: none
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Web page: http://129.3.20.41

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Related research
Keywords: Agent-based computational economics;

Find related papers by JEL classification:
C6 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming
C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory
C9 - Mathematical and Quantitative Methods - - Design of Experiments

This paper has been announced in the following NEP Reports:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. David MCFADZEAN & Leigh TESFATSION, 1996. "A C++ Platform For The Evolution Of Trade Networks," Economic Report 39, Iowa State University Department of Economics. [Downloadable!]
    Other versions:
Full references

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Roberto Leombruni & Matteo Richiardi & Nicole J. Saam & Michele Sonnessa, 2005. "A Common Protocol for Agent-Based Social Simulation," LABORatorio R. Revelli Working Papers Series 47, LABORatorio R. Revelli, Centre for Employment Studies. [Downloadable!]
    Other versions:
  2. Roberto Leombruni & Matteo Richiardi, 2006. "LABORsim: An Agent-Based Microsimulation of Labour Supply – An Application to Italy," Computational Economics, Springer, vol. 27(1), pages 63-88, February. [Downloadable!] (restricted)
    Other versions:
  3. Denis Phan & Stephane Pajot & Jean-Pierre Nadal, 2003. "The Monopolist's Market with Discrete Choices and Network Externality Revisited: Small-Worlds, Phase Transition and Avalanches in an ACE Framework," Computing in Economics and Finance 2003 150, Society for Computational Economics. [Downloadable!]
  4. Sasaki, Yuya, 2004. "The Equivalence Of Evolutionary Games And Distributed Monte Carlo Learning," Economics Research Institute, ERI Series 28338, Utah State University, Economics Department. [Downloadable!]
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This page was last updated on 2009-11-13.

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