ATTac-2000: an adaptive autonomous bidding agent

  • Authors:
  • Peter Stone;Michael L. Littman;Satinder Singh;Michael Kearns

  • Affiliations:
  • AT&T Labs Research, Florham Park, NJ;AT&T Labs Research, Florham Park, NJ;Syntek Capital, New York, NY;Syntek Capital, New York, NY

  • Venue:
  • Journal of Artificial Intelligence Research
  • Year:
  • 2001

Quantified Score

Hi-index 0.00

Visualization

Abstract

The First Trading Agent Competition (TAC) was held from June 22nd to July 8th, 2000. TAC was designed to create a benchmark problem in the complex domain of e-marketplaces and to motivate researchers to apply unique approaches to a common task. This article describes ATTac-2000, the first-place finisher in TAC. ATTac-2000 uses a principled bidding strategy that includes several elements of adaptivity. In addition to the success at the competition, isolated empirical results are presented indicating the robustness and effectiveness of ATTac-2000's adaptive strategy.