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Agent-Based Computational Economics: Growing Economies from the Bottom Up

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  • Tesfatsion, Leigh S.

Abstract

This study outlines the main objectives and defining characteristics of agent-based computational economics (ACE), the computational study of economies modeled as evolving systems of autonomous interacting agents. Similarities and distinctions between ACE and artificial life research are clarified. Eight ACE research areas are identified, and a number of publications in each area are highlighted for concrete illustration. Open questions and directions for future ACE research are also considered. The study concludes with a discussion of the potential benefits of the ACE approach, as well as some potential difficulties. Annotated pointers to related work can be accessed here: http://www.econ.iastate.edu/tesfatsi/ace.htm

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Bibliographic Info

Paper provided by Iowa State University, Department of Economics in its series Staff General Research Papers with number 5075.

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Date of creation: 01 Jan 2002
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Publication status: Published in Artificial Life 2002, vol. 8 no. 1, pp. 55-82
Handle: RePEc:isu:genres:5075

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Postal: Iowa State University, Dept. of Economics, 260 Heady Hall, Ames, IA 50011-1070
Phone: +1 515.294.6741
Fax: +1 515.294.0221
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Web page: http://www.econ.iastate.edu
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Cited by:
  1. Denis Phan & Franck Varenne, 2010. "Agent-Based Models and Simulations in Economics and Social Sciences: From Conceptual Exploration to Distinct Ways of Experimenting," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 13.
  2. Jean Louis Dessalles & Denis Phan, 2005. "Emergence in multi-agent systems:Cognitive hierarchy, detection, and complexity reduction," Computing in Economics and Finance 2005 257, Society for Computational Economics.
  3. Hailu, Atakelty & Schilizzi, Steven, 2003. "Investigating the performance of market-based instruments for resource conservation: the contribution of agent-based modelling," 2003 Conference (47th), February 12-14, 2003, Fremantle, Australia 57883, Australian Agricultural and Resource Economics Society.
  4. Lamieri, Marco & Bertacchini, Enrico, 2006. "What if Hayek goes shopping in the bazaar?," MPRA Paper 367, University Library of Munich, Germany, revised 21 Jun 2006.
  5. Anke Weidlich & Daniel Veit, 2008. "Agent-Based Simulations for Electricity Market Regulation Advice: Procedures and an Example," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), Justus-Liebig University Giessen, Department of Statistics and Economics, vol. 228(2+3), pages 149-172, June.
  6. Giorgio Fagiolo & Paul Windrum & Alessio Moneta, 2006. "Empirical Validation of Agent Based Models: A Critical Survey," LEM Papers Series 2006/14, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  7. Ting-Hua Chang & Jun-Yen Lee & Ru-Hwa Chen, 2008. "The Effects of Customer Value on Loyalty and Profits in a Dynamic Competitive Market," Computational Economics, Society for Computational Economics, vol. 32(3), pages 317-339, October.
  8. Pedro Cosme Costa Vieira, 2005. "Market equilibrium with search and computational costs," FEP Working Papers 173, Universidade do Porto, Faculdade de Economia do Porto.
  9. Atakelty Hailu & Sophie Thoyer, 2006. "Multi-unit auction format design," Journal of Economic Interaction and Coordination, Springer, vol. 1(2), pages 129-146, November.
  10. Spiliopoulos, Leonidas, 2009. "Neural networks as a learning paradigm for general normal form games," MPRA Paper 16765, University Library of Munich, Germany.
  11. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, EconWPA, revised 15 Aug 2002.
  12. Rennard, Jean-Philippe, 2006. "Artificiality in Social Sciences," MPRA Paper 1458, University Library of Munich, Germany.
  13. Buda, Rodolphe, 2005. "Numerical Analysis in Econom(etr)ic Softwares: the Data-Memory Shortage Management," MPRA Paper 9145, University Library of Munich, Germany, revised 2007.
  14. David Colander, 2004. "Thinking Outside the Heterodox Box: Post Walrasian Macroeconomics and Heterodoxy," Middlebury College Working Paper Series 0424, Middlebury College, Department of Economics.
  15. Atakelty Hailu & Sophie Thoyer, 2010. "What Format for Multi-Unit Multiple-Bid Auctions?," Computational Economics, Society for Computational Economics, vol. 35(3), pages 189-209, March.
  16. Steven Gjerstad & Jason M. Shachat, 2007. "Individual Rationality and Market Efficiency," Purdue University Economics Working Papers 1204, Purdue University, Department of Economics.
  17. Tesfatsion, Leigh, 2006. "Agent-Based Computational Modeling And Macroeconomics," Staff General Research Papers 12402, Iowa State University, Department of Economics.
  18. Dan Farhat, 2011. "Bookworms versus Party Animals: An Artificial Labor Market with Human and Social Capital Accumulation," Working Papers 1103, University of Otago, Department of Economics, revised May 2011.
  19. Giorgio Fagiolo & Alessio Moneta & Paul Windrum, 2007. "A Critical Guide to Empirical Validation of Agent-Based Models in Economics: Methodologies, Procedures, and Open Problems," Computational Economics, Society for Computational Economics, vol. 30(3), pages 195-226, October.
  20. Lamieri, Marco & Ietri, Daniele, 2004. "Innovation creation and diffusion in a social network: an agent based approach," MPRA Paper 445, University Library of Munich, Germany, revised 20 Oct 2006.

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