UMBCTAC: A Balanced Bidding Agent
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Type of Work14 pages
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early bird heuristic
trading agent competition (TAC)
UMBC Ebiquity Research Group
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.