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Multiagent System Platform for Auction Simulations Author info | Abstract | Publisher info | Download info | Related research | Statistics Alan Mehlenbacher () (Department of Economics, University of Victoria )
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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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 2007Date of revision:
Handle: RePEc:vic:vicddp:0706Note: ISSN 1914-2838Contact details of provider: Postal: PO Box 1700, STN CSC, Victoria, BC, Canada, V8W 2Y2 Phone: (250)721-8540 Fax: (250)721-6214 Web page: http://web.uvic.ca/econ More information through EDIRC
For technical questions regarding this item, or to correct its listing, contact: (David Giles).
Keywords: Axiomatic bargaining ; resource monotonicity ; transferable utility ; risk aversion ; Other versions of this item:
Find related papers by JEL classification: C71 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Cooperative Games D13 - Microeconomics - - Household Behavior - - - Household Production and Intrahouse Allocation D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
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