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Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3 (AAMAS'04)
New York City, New York, USA
July 19-July 23
ISBN: 0-7695-2092-8
Wolfgang Ketter, University of Minnesota
Elena Kryzhnyaya, University of Minnesota
Steven Damer, University of Minnesota
Colin McMillen, University of Minnesota
Amrudin Agovic, University of Minnesota
John Collins, University of Minnesota
Maria Gini, University of Minnesota
We describe two sales strategies used by our agent, MinneTAC, for the 2003 Supply Chain Management Trading Agent Competition (TAC SCM). Both strategies estimate, as the game progresses, the probability of receiving a customer order for different prices and compute the expected profit. We empirically analyze the effect of the discount given by suppliers on orders made the first day of the game, and show that in high-demand games there is a strong correlation between the performance of an agent in the game and the offers it receives from suppliers the first day of the game.
Citation:
Wolfgang Ketter, Elena Kryzhnyaya, Steven Damer, Colin McMillen, Amrudin Agovic, John Collins, Maria Gini, "MinneTAC Sales Strategies for Supply Chain TAC," aamas, vol. 3, pp.1372-1373, Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3 (AAMAS'04), 2004
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