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.

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DOI: http://dx.doi.org/10.1609/aimag.v24i1.1691

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