UMBCTAC: A Balanced Bidding Agent

UMBCTAC is one of the top ranking agents in the 3rd International Trading Agent Competition (TAC). A TAC game has multiple auctions running on different but interrelated resources simultaneously, and 8 trading agents will compete with each other for optimal result – making maximum profit. The spirit of simplicity and balance is used as a guideline to solve the dynamical optimization problem in TAC game. The hotel/airline auctions and the entertainment ticket auctions are handled separately by applying early bird heuristic. A gain-risk model is used to select a good, safe resource allocation for the clients in hotel/airline auctions. A fast and simple probabilistic approach is used to handle entertainment ticket auctions.
Date: December 14, 2002
Book Title: UMBC Technical Report TR-02-15
Type: TechReport
Downloads: 2419

Has 1 soft copy


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Bibtex


@TechReport{UMBCTAC_A_Balanced_Bidding_Agent,
  author = "Li Ding and Yongmei Shi and Zhongli Ding and Rong Pan and Tim Finin",
  title = "{UMBCTAC: A Balanced Bidding Agent}",
  month = "December",
  year = "2002",
  booktitle = "UMBC Technical Report TR-02-15",
}