Competitive Benchmarking: Lessons Learned from the Trading Agent Competition

  • Wolfgang Ketter Erasmus University
  • Andreas Symeonidis Aristotle University of Thessaloniki

Abstract

Over the years, competitions have been important catalysts for progress in artificial intelligence. We describe the goal of the overall Trading Agent Competition and highlight particular competitions. We discuss its significance in the context of today’s global market economy as well as AI 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 ten years. Since its introduction in 2000, TAC has attracted more than 350 entries and brought together researchers from AI and beyond.

Author Biographies

Wolfgang Ketter, Erasmus University
Associate Professor, Department of Decision and Information Sciences, Rotterdam School of Management
Andreas Symeonidis, Aristotle University of Thessaloniki
Lecturer, Department of Electrical and Computer Engineering
Published
2012-03-16
Section
Competition Reports