Using Information Gain to Analyze and Fine Tune the Performance of Supply Chain Trading Agents

Author:

Andrews James,Benisch Michael,Sardinha Alberto,Sadeh Norman

Publisher

Springer Berlin Heidelberg

Reference18 articles.

1. Arunachalam, R., Sadeh, N.: The supply chain trading agent competition. Electronic Commerce Research Applications 4(1), 63–81 (2005)

2. Sadeh, N., Hildum, D., Kjenstad, D., Tseng, A.: Mascot: an agent-based architecture for coordinated mixed-initiative supply chain planning and scheduling. In: Proceedings of Agents Workshop on Agent-Based Decision Support in Managing the Internet-Enabled Supply-Chain (1999)

3. Benisch, M., Sardinha, A., Andrews, J., Ravichandran, R., Sadeh, N.: CMieux: Adaptive strategies for supply chain management. Electronic Commerece Research Applications (forthcoming)

4. Collins, J., Arunachalam, R., Sadeh, N., Eriksson, J., Finne, N., Janson, S.: The supply chain management game for 2006 trading agent competition (TAC SCM). Technical Report CMU-ISRI-05-132, School of Computer Science, Carnegie Mellon University (November 2006)

5. Lecture Notes in Artificial Intelligence;C. Kiekintveld,2006

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