The 2001 Trading Agent Competition

Authors: Michael P. Wellman ^a; Amy Greenwald ^b; Peter Stone ^c; Peter R. Wurman ^d

Affiliations:	^a (wellman@umich.edu) The Artificial Intelligence Laboratory at the University of Michigan.
	^b (amygreen@cs.brown.edu) The department of Computer Science at Brown University.
	^c (pstone@cs.utexas.edu) The Department of Computer Sciences at the University of Texas at Austin.
	^d (wurman@csc.ncsu.edu) The Department of Computer Science at North Carolina State University.

DOI: 10.1080/1019678032000062212

Publication Frequency: 4 issues per year

Published in: journal

Electronic Markets, Volume 13, Issue 1 January 2003 , pages 4 - 12

Subject: E-business & E-commerce;

Formats available: PDF (English)

The circumstances under which this title is published have changed:

Reason for change: Changed Publisher
Now published by: Springer
Date of change: 2009

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Abstract

The 2001 Trading Agent Competition was the second in a series of events aiming to shed light on research issues in automating trading strategies. Based on a challenging market scenario in the domain of travel shopping, the competition presents agents with difficult issues in bidding strategy, market prediction and resource allocation. Entrants in 2001 demonstrated substantial progress over the prior year, with the overall level of competence exhibited suggesting that trading in online markets is a viable domain for highly autonomous agents.

Keywords: Trading Agents; Bidding Strategy; Market Game

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The 2001 Trading Agent Competition

Abstract