Multiagent System Platform for Auction Simulations

Alan Mehlenbacher ()
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Alan Mehlenbacher: Department of Economics, University of Victoria, https://www.uvic.ca/socialsciences/economics/

No 706, Department Discussion Papers from Department of Economics, University of Victoria

Abstract: 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.

Keywords: Axiomatic bargaining; resource monotonicity; transferable utility; risk aversion; Agent-based computational economics; agent learning (search for similar items in EconPapers)
JEL-codes: C15 C72 D83 (search for similar items in EconPapers)
Pages: 28 pages
Date: 2007-11-19
New Economics Papers: this item is included in nep-cbe, nep-cmp, nep-gth and nep-upt
Note: ISSN 1914-2838
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Persistent link: https://EconPapers.repec.org/RePEc:vic:vicddp:0706

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