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A statistical analysis of the trading agent competition 2001
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Source ACM SIGecom Exchanges archive
Volume 3 ,  Issue 2  (Spring, 2002) table of contents
Pages: 1 - 8  
Year of Publication: 2002
Authors
Pier Luca Lanzi  Politecnico di Milano, Dipartimento di Elettronica e Informazione, Artificial Intelligence and Robotics Laboratory
Alessandro Strada  Politecnico di Milano, Dipartimento di Elettronica e Informazione, Artificial Intelligence and Robotics Laboratory
Publisher
ACM  New York, NY, USA
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ABSTRACT

We present a statistical analysis on the data from the Second Trading Agent Competition (TAC01). Our goal is to study the effectiveness of this competition as a testbed for the evaluation of trading strategies in artificial markets. Our results suggest that in TAC01 no agent performed significantly better than all the others, from a pure statistical viewpoint. Instead, it reveals groups of agents which performed significantly better than others. Thus, our results suggest that although this competition may not give a quantitative evaluation of the agents' trading strategies, it can still provide some useful qualitative evaluation.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Glantz, S. A. and Slinker, B. K. 2001. Primer of Applied Regression & Analysis of Variance, 2nd ed. McGraw Hill, New York.
 
2
Strada, A. 2002. Autonomous agents for electronic auctions. M.S. thesis, Politecnico di Milano. Dipartimento di Elettronica e Informazione. (In Italian).
 
3
Wellman, M. P., Greenwald, A., Stone, P., and Wurman, P. R. 2001. The trading agent competition 2001. http://auction2.eecs.umich.edu.
 
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Collaborative Colleagues:
Pier Luca Lanzi: colleagues
Alessandro Strada: colleagues