The 2002 trading agent competition: an overview of agent strategies

  • Authors:
  • Amy Greenwald

  • Affiliations:
  • -

  • Venue:
  • AI Magazine
  • Year:
  • 2003

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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 multi-agent systems. Ultimately, the most successful agents were primarily heuristic based and domain specific.