Agent-based Computational Economics: a Methodological Appraisal
AbstractThis paper is an overview of "Agent-based Computational Economics (ACE)", an emerging approach to the study of decentralized market economies, in methodological perspective. It summarizes similarities and differences with respect to conventional economic models, outlines the unique methodological characteristics of this approach, and discusses its implications for economic methodology as a whole. While ACE rejoins the reflection on the unintended social consequences of purposeful individual action which is constitutive of economics as a discipline, the paper shows that it complements state-of the-art research in experimental and behavioral economics. In particular, the methods and techniques of ACE have reinforced the laboratory finding that fundamental economic results rely less on rational choice theory than is usually assumed, and have provided insight into the importance of market structures and rules in addition to individual choice. In addition, ACE has enlarged the range of inter-individual interactions that are of interest for economists. In this perspective, ACE provides the economist‘s toolbox with valuable supplements to existing economic techniques rather than proposing a radical alternative. Despite some open methodological questions, it has potential for better integration into economics in the future.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by University of Paris West - Nanterre la Défense, EconomiX in its series EconomiX Working Papers with number 2009-42.
Length: 26 pages
Date of creation: 2009
Date of revision:
Agent-based Computational Economics; Economic Methodology; Experimental Economics.;
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-01-10 (All new papers)
- NEP-CBE-2010-01-10 (Cognitive & Behavioural Economics)
- NEP-CMP-2010-01-10 (Computational Economics)
- NEP-EVO-2010-01-10 (Evolutionary Economics)
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.:
- Duffy, John, 2006.
"Agent-Based Models and Human Subject Experiments,"
Handbook of Computational Economics,
in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 19, pages 949-1011
- Sean Crockett & Stephen Spear & Shyam Sunder, 1899.
"Learning Competitive Equilibrium,"
GSIA Working Papers
2003-E18, Carnegie Mellon University, Tepper School of Business.
- Olivier Barreteau, 2003. "Our Companion Modelling Approach," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 6(2), pages 1.
- Robert Axtell, 2005.
"The Complexity of Exchange,"
Royal Economic Society, vol. 115(504), pages F193-F210, 06.
- Arthur, W Brian, 1993. "On Designing Economic Agents That Behave Like Human Agents," Journal of Evolutionary Economics, Springer, vol. 3(1), pages 1-22, February.
- Rosaria Conte & Mario Paolucci, 2001. "Intelligent Social Learning," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 4(1), pages 3.
Blog mentionsAs found by EconAcademics.org, the blog aggregator for Economics research:
- Agent-based computational economics in Milan
by paolatubaro in Paola Tubaro's Blog on 2010-05-20 22:18:32
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Valérie Mignon).
If references are entirely missing, you can add them using this form.