A stochastic programming approach to scheduling in TAC SCM
EC '04 Proceedings of the 5th ACM conference on Electronic commerce
TacTex-03: a supply chain management agent
ACM SIGecom Exchanges
Learning payoff functions in infinite games
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
The supply chain trading agent competition
Electronic Commerce Research and Applications
Strategic betting for competitive agents
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
Market efficiency, sales competition, and the bullwhip effect in the TAC SCM tournaments
TADA/AMEC'06 Proceedings of the 2006 AAMAS workshop and TADA/AMEC 2006 conference on Agent-mediated electronic commerce: automated negotiation and strategy design for electronic markets
Strategic analysis with simulation-based games
Winter Simulation Conference
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We present and analyze results from the 2004 Trading Agent Competition supply chain management scenario. We identify behavioral differences between the agents that contributed to their performance in the competition. In the market for components, strategic early procurement remained an important factor despite rule changes from the previous year. We present a new experimental analysis of the impact of the rule changes on incentives for early procurement. In the finals, a novel strategy designed to block other agent's access to suppliers at the start of the game was pivotal. Some agents did not respond effectively to this strategy and were badly hurt by their inability to get crucial components. Among the top three agents, average selling prices in the market for finished goods were the decisive difference. Our analysis shows that supply and demand were key factors in determining overall market prices, and that some agents were more adept than others at exploiting advantageous market conditions.