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Multiagent System Platform for Auction Simulations

I have developed a multiagent system platform that provides a valuable complement to the alternative auction research methods. The platform facilitates the development of heterogeneous agents and provides an experimental environment that is under the experimenter's complete control. Simulations with alternative learning methods results in impulse balance learning as the most promising approach for auctions.

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File URL: http://www.uvic.ca/socialsciences/economics/assets/docs/discussion/ddp0706.pdf
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Paper provided by Department of Economics, University of Victoria in its series Department Discussion Papers with number 0706.

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Length: 28 pages
Date of creation: 19 Nov 2007
Date of revision:
Handle: RePEc:vic:vicddp:0706
Note: ISSN 1914-2838
Contact details of provider: Postal: PO Box 1700, STN CSC, Victoria, BC, Canada, V8W 2Y2
Phone: (250)721-6197
Fax: (250)721-6214
Web page: http://web.uvic.ca/econ

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  1. repec:cup:cbooks:9780521551847 is not listed on IDEAS
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  35. Alan Mehlenbacher, 2007. "Multiagent System Simulations of Sealed-Bid Auctions with Two-Dimensional Value Signals," Department Discussion Papers 0707, Department of Economics, University of Victoria.
  36. Camerer, Colin F. & Ho, Teck-Hua & Chong, Juin-Kuan, 2002. "Sophisticated Experience-Weighted Attraction Learning and Strategic Teaching in Repeated Games," Journal of Economic Theory, Elsevier, vol. 104(1), pages 137-188, May.
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