IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article

On the Selection of Adaptive Algorithms in ABM: A Computational-Equivalence Approach

  • Shu-Heng Chen
  • Chung-Ching Tai

    ()

No abstract is available for this item.

If 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.

File URL: http://hdl.handle.net/10.1007/s10614-006-9039-1
Download Restriction: Access to full text is restricted to subscribers.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by Society for Computational Economics in its journal Computational Economics.

Volume (Year): 28 (2006)
Issue (Month): 1 (August)
Pages: 51-69

as
in new window

Handle: RePEc:kap:compec:v:28:y:2006:i:1:p:51-69
Contact details of provider: Web page: http://www.springerlink.com/link.asp?id=100248

More information through EDIRC

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.:

as in new window
  1. John Duffy, 2004. "Agent-Based Models and Human Subject Experiments," Computational Economics 0412001, EconWPA.
  2. B. LeBaron, 2001. "A builder's guide to agent-based financial markets," Quantitative Finance, Taylor & Francis Journals, vol. 1(2), pages 254-261.
  3. David F. Midgley & Robert E. Marks & Lee C. Cooper, 1997. "Breeding Competitive Strategies," Management Science, INFORMS, vol. 43(3), pages 257-275, March.
  4. Nick Feltovich, 2000. "Reinforcement-Based vs. Belief-Based Learning Models in Experimental Asymmetric-Information," Econometrica, Econometric Society, vol. 68(3), pages 605-642, May.
  5. Dawid, Herbert, 1999. "On the convergence of genetic learning in a double auction market," Journal of Economic Dynamics and Control, Elsevier, vol. 23(9-10), pages 1545-1567, September.
  6. Tesfatsion, Leigh, 1997. "How Economists Can Get Alife," Staff General Research Papers 1685, Iowa State University, Department of Economics.
  7. 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.
  8. Robert Axelrod, 1997. "Advancing the Art of Simulation in the Social Sciences," Working Papers 97-05-048, Santa Fe Institute.
  9. Eric Ringhut & Stefan Kooths, 2003. "Modeling Expectations with GENEFER – an Artificial Intelligence Approach," Computational Economics, Society for Computational Economics, vol. 21(1), pages 173-194, February.
  10. Guth, Werner & Schmittberger, Rolf & Schwarze, Bernd, 1982. "An experimental analysis of ultimatum bargaining," Journal of Economic Behavior & Organization, Elsevier, vol. 3(4), pages 367-388, December.
  11. 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.
  12. Shu-Heng Chen & Chung-Ching Tai, 2003. "Trading Restrictions, Price Dynamics And Allocative Efficiency In Double Auction Markets: Analysis Based On Agent-Based Modeling And Simulations," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 6(03), pages 283-302.
  13. Carsten Schmidt & Jens Grossklags, 2004. "Interaction of Human and Artificial Agents on Double Auction Markets - Simulations and Laboratory Experiments," Papers on Strategic Interaction 2003-22, Max Planck Institute of Economics, Strategic Interaction Group.
  14. Alvin E. Roth & Axel Ockenfels, 2002. "Last-Minute Bidding and the Rules for Ending Second-Price Auctions: Evidence from eBay and Amazon Auctions on the Internet," American Economic Review, American Economic Association, vol. 92(4), pages 1093-1103, September.
  15. Arifovic, Jasmina, 1995. "Genetic algorithms and inflationary economies," Journal of Monetary Economics, Elsevier, vol. 36(1), pages 219-243, August.
  16. Lucas, Robert E, Jr, 1986. "Adaptive Behavior and Economic Theory," The Journal of Business, University of Chicago Press, vol. 59(4), pages S401-26, October.
  17. Gode, Dhananjay K & Sunder, Shyam, 1993. "Allocative Efficiency of Markets with Zero-Intelligence Traders: Market as a Partial Substitute for Individual Rationality," Journal of Political Economy, University of Chicago Press, vol. 101(1), pages 119-37, February.
  18. Jasmina Arifovic & John Ledyard, 2004. "Scaling Up Learning Models in Public Good Games," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 6(2), pages 203-238, 05.
  19. Herbert A. Simon, 1996. "The Sciences of the Artificial, 3rd Edition," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262691914.
  20. Shu-Heng Chen & Chung-Chi Liao & Chi-Hsuan Yeh, 2000. "On The Emergent Properties Of Artificial Stock Markets: Some Initial Evidences," Computing in Economics and Finance 2000 328, Society for Computational Economics.
  21. Hoffman, Elizabeth & McCabe, Kevin A & Smith, Vernon L, 1996. "On Expectations and the Monetary Stakes in Ultimatum Games," International Journal of Game Theory, Springer;Game Theory Society, vol. 25(3), pages 289-301.
  22. Axel Ockenfels & Alvin E. Roth, 2001. "The Timing of Bids in Internet Auctions: Market Design, Bidder Behavior, and Artificial Agents," Papers on Strategic Interaction 2002-33, Max Planck Institute of Economics, Strategic Interaction Group.
  23. 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.
  24. Jason Shachat & J. Todd Swarthout, 2003. "Procurement Auctions for Differentiated Goods," Experimental Economics Center Working Paper Series 2006-15, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University, revised Apr 2009.
  25. Brenner, Thomas, 2006. "Agent Learning Representation: Advice on Modelling Economic Learning," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 18, pages 895-947 Elsevier.
  26. Holland, John H & Miller, John H, 1991. "Artificial Adaptive Agents in Economic Theory," American Economic Review, American Economic Association, vol. 81(2), pages 365-71, May.
  27. Tang, Fang-Fang, 2003. "A comparative study on learning in a normal form game experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 50(3), pages 385-390, March.
  28. Arifovic, Jasmina, 1994. "Genetic algorithm learning and the cobweb model," Journal of Economic Dynamics and Control, Elsevier, vol. 18(1), pages 3-28, January.
  29. Lindstrom, Tomas, 1998. "A fuzzy design of the willingness to invest in Sweden," Journal of Economic Behavior & Organization, Elsevier, vol. 36(1), pages 1-17, July.
  30. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, EconWPA, revised 15 Aug 2002.
  31. Rustichini, Aldo, 2005. "Neuroeconomics: Present and future," Games and Economic Behavior, Elsevier, vol. 52(2), pages 201-212, August.
  32. Michael Maschek & Jasmina Arifovic, 2003. "Expectations and Currency Crisis - An experimental approach," Computing in Economics and Finance 2003 245, Society for Computational Economics.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:kap:compec:v:28:y:2006:i:1:p:51-69. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla)

or (Rebekah McClure)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.