The 2002 trading agent competition: An overview of agent strategies

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.