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Introduction to the Special Issue on Agent-Based Computational Economics

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Author Info

  • Tesfatsion, Leigh S.

Abstract

A brief overview of agent-based computational economics (ACE) is given, followed by synopses of the articles included in this special ACE issue.

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Bibliographic Info

Paper provided by Iowa State University, Department of Economics in its series Staff General Research Papers with number 10038.

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Date of creation: 01 Aug 2001
Date of revision:
Publication status: Published in Computational Economics, August 2001, vol. 18 no. 1
Handle: RePEc:isu:genres:10038

Contact details of provider:
Postal: Iowa State University, Dept. of Economics, 260 Heady Hall, Ames, IA 50011-1070
Phone: +1 515.294.6741
Fax: +1 515.294.0221
Email:
Web page: http://www.econ.iastate.edu
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Keywords: agent-based computational economics;

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References

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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.:
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  1. Kreps, David M., 1990. "Game Theory and Economic Modelling," OUP Catalogue, Oxford University Press, number 9780198283812, July.
  2. Arifovic, Jasmina, 2001. "Evolutionary dynamics of currency substitution," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 395-417, March.
  3. Chen, Shu-Heng & Yeh, Chia-Hsuan, 2001. "Evolving traders and the business school with genetic programming: A new architecture of the agent-based artificial stock market," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 363-393, March.
  4. Tay, Nicholas S. P. & Linn, Scott C., 2001. "Fuzzy inductive reasoning, expectation formation and the behavior of security prices," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 321-361, March.
  5. Kirman, Alan P. & Vriend, Nicolaas J., 2001. "Evolving market structure: An ACE model of price dispersion and loyalty," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 459-502, March.
  6. Richard R. Nelson, 1995. "Recent Evolutionary Theorizing about Economic Change," Journal of Economic Literature, American Economic Association, vol. 33(1), pages 48-90, March.
  7. Armen A. Alchian, 1950. "Uncertainty, Evolution, and Economic Theory," Journal of Political Economy, University of Chicago Press, vol. 58, pages 211.
  8. Maurer, Sebastian M. & Huberman, Bernardo A., 2001. "Restart strategies and Internet congestion," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 641-654, March.
  9. Kiyotaki, Nobuhiro & Wright, Randall, 1989. "On Money as a Medium of Exchange," Journal of Political Economy, University of Chicago Press, vol. 97(4), pages 927-54, August.
  10. De Vany, Arthur & Lee, Cassey, 2001. "Quality signals in information cascades and the dynamics of the distribution of motion picture box office revenues," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 593-614, March.
  11. Klos, Tomas B. & Nooteboom, Bart, 2001. "Agent-based computational transaction cost economics," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 503-526, March.
  12. Andersson, Martin R. & Sandholm, Tuomas W., 2001. "Leveled commitment contracts with myopic and strategic agents," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 615-640, March.
  13. Joshua M. Epstein & Robert L. Axtell, 1996. "Growing Artificial Societies: Social Science from the Bottom Up," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550253.
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Citations

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Cited by:
  1. Boer-Sorban, K. & Bruin, A. de & Kaymak, U., 2005. "On the Design of Artificial Stock Markets," Research Paper ERS-2005-001-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni.
  2. Yu, Tongkui & Chen, Shu-Heng & Li, Honggang, 2011. "Social Norm, Costly Punishment and the Evolution to Cooperation," MPRA Paper 28814, University Library of Munich, Germany.
  3. Fiore, Annamaria, 2009. "Experimental Economics: Some Methodological Notes," MPRA Paper 12498, University Library of Munich, Germany.
  4. Floortje Alkemade & Han Poutré & Hans Amman, 2006. "Robust Evolutionary Algorithm Design for Socio-economic Simulation," Computational Economics, Society for Computational Economics, vol. 28(4), pages 355-370, November.
  5. McArthur, David & Thorsen, Inge & Ubøe, Jan, 2008. "An agent-based computational approach to explaining persistent spatial unemployment disparities," Discussion Papers 2008/17, Department of Finance and Management Science, Norwegian School of Economics.
  6. Mattheos K. Protopapas & Elias B. Kosmatopoulos, 2009. "Simulation and Use of Heuristics for Peripheral Economic Policy," Papers 0905.3808, arXiv.org.
  7. Gilli, M. & Winker, P., 2003. "A global optimization heuristic for estimating agent based models," Computational Statistics & Data Analysis, Elsevier, vol. 42(3), pages 299-312, March.
  8. Tommaso Ciarli & Andre' Lorentz & Maria Savona & Marco Valente, 2012. "The role of technology, organisation, and demand in growth and income distribution," LEM Papers Series 2012/06, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  9. Garavaglia, Christian, 2010. "Modelling industrial dynamics with "History-friendly" simulations," Structural Change and Economic Dynamics, Elsevier, vol. 21(4), pages 258-275, November.
  10. McArthur, David Philip & Thorsen, Inge & Ubøe, Jan, 2009. "Congested Interregional Infrastructure, Road Pricing and Regional Labour Markets," Discussion Papers 2009/3, Department of Finance and Management Science, Norwegian School of Economics.
  11. Christian Martin & Michael Neugart, 2009. "Shocks and Endogenous Institutions: An Agent-based Model of Labor Market Performance in Turbulent Times," Computational Economics, Society for Computational Economics, vol. 33(1), pages 31-46, February.
  12. Koye Somefun, 2001. "Posted Offer versus Bargaining: An Example of how Institutions can Facilitate Learning," Computing in Economics and Finance 2001 79, Society for Computational Economics.
  13. Alexander Smajgl, 2004. "Modelling the effect of learning and evolving rules on the use of common-pool resources," Computing in Economics and Finance 2004 178, Society for Computational Economics.
  14. Gevel, A.J.W. van de & Noussair, C.N., 2012. "The Nexus between Artificial Intelligence and Economics," Discussion Paper 2012-087, Tilburg University, Center for Economic Research.
  15. Anthony Patt & Bernd Siebenhüner, 2005. "Agent Based Modeling and Adaption to Climate Change," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 74(2), pages 310-320.
  16. Shu-Heng Chen & Chung-Ching Tai, 2006. "Republication: On the Selection of Adaptive Algorithms in ABM: A Computational-Equivalence Approach," Computational Economics, Society for Computational Economics, vol. 28(4), pages 313-331, November.
  17. Flavio Lenz-Cesar & Almas Heshmati, 2010. "Agent-based Simulation of Cooperative Innovation," TEMEP Discussion Papers 201052, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Jan 2010.
  18. Cyril Schoreels & Jonathan M. Garibaldi, 2006. "Comparative study of central decision makers versus groups of evolved agents trading in equity markets," Computing in Economics and Finance 2006 410, Society for Computational Economics.
  19. Boer-Sorban, K. & Kaymak, U. & Spiering, J., 2006. "From Discrete-Time Models to Continuous-Time, Asynchronous Models of Financial Markets," Research Paper ERS-2006-009-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni.
  20. Flavio Lenz-Cesar & Almas Heshmati, 2009. "Determinants of Firms Cooperation in Innovation," TEMEP Discussion Papers 200927, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Nov 2009.
  21. Smith, Peter, 2004. "Reworking the Standard Model of Competitive Markets: The Role of Fuzzy Logic and Genetic Algorithms in Modelling Complex Non-Linear Economic System," General Discussion Papers 30569, University of Manchester, Institute for Development Policy and Management (IDPM).
  22. Schmidt, Andreas U., 2006. "Multi-level markets and incentives for information goods," Information Economics and Policy, Elsevier, vol. 18(2), pages 125-138, June.

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