The 2002 Trading Agent Competition: An Overview of Agent Strategies

  • Amy Greenwald

Abstract

This article summarizes 16 agent strategies that were designed for the 2002 Trading Agent Competition. Agent architects use numerous general-purpose AI techniques, including machine learning, planning, partially observable Markov decision processes, Monte Carlo simulations, and multiagent systems. Ultimately, the most successful agents were primarily heuristic based and domain specific.
Published
2003-03-15
Section
Articles