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  • 标题:ATTac-2000: An Adaptive Autonomous Bidding Agent
  • 本地全文:下载
  • 作者:P. Stone ; M. L. Littman ; S. Singh
  • 期刊名称:Journal of Artificial Intelligence Research
  • 印刷版ISSN:1076-9757
  • 出版年度:2001
  • 卷号:15
  • 页码:189-206
  • 出版社:American Association of Artificial
  • 摘要: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.
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