2012-06-01
Competitive benchmarking: Lessons learned from the Trading Agent Competition
Publication
Publication
AI Magazine , Volume 33 - Issue 2 p. 103- 107
Over the years, competitions have been important catalysts for progress in artificial intelligence. We describe the goal of the overall Trading Agent Competition (TAC) and highlight particular competitions. We discuss its significance in the context of today's global market economy as well as Al research, the ways in which it breaks away from limiting assumptions made in prior work, and some of the advances it has engendered over the past 10 years. Since its introduction in 2000, TAC has attracted more than 350 entries and brought together researchers from AI and beyond. Copyright
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| hdl.handle.net/1765/82153 | |
| AI Magazine | |
| Organisation | Decision and Information Sciences |
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Ketter, W., & Symeonidis, A. L. (2012). Competitive benchmarking: Lessons learned from the Trading Agent Competition. In AI Magazine (Vol. 33, pp. 103–107). Retrieved from http://hdl.handle.net/1765/82153 |
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