MinneTAC sales strategies for Supply Chain TAC

Wolfgang Ketter, Elena Kryzhnyaya, Steven Damer, Colin McMillen, Amrudin Agovic, John Collins, Maria L Gini

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publicationProceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2004
EditorsN.R. Jennings, C. Sierra, L. Sonenberg, M. Tambe
Pages1372-1373
Number of pages2
StatePublished - Sep 27 2004
EventProceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2004 - New York, NY, United States
Duration: Jul 19 2004Jul 23 2004

Publication series

NameProceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2004
Volume3

Other

OtherProceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2004
CountryUnited States
CityNew York, NY
Period7/19/047/23/04

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  • Cite this

    Ketter, W., Kryzhnyaya, E., Damer, S., McMillen, C., Agovic, A., Collins, J., & Gini, M. L. (2004). MinneTAC sales strategies for Supply Chain TAC. In N. R. Jennings, C. Sierra, L. Sonenberg, & M. Tambe (Eds.), Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2004 (pp. 1372-1373). (Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2004; Vol. 3).