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PackaTAC: a conservative trading agent
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Volume 4 ,  Issue 3  (February 2004) table of contents
Pages: 38 - 45  
Year of Publication: 2004
Authors
Erik Dahlgren  Department of Computer Science, North Carolina State University
Peter R. Wurman  Department of Computer Science, North Carolina State University
Publisher
ACM  New York, NY, USA
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ABSTRACT

The Supply Chain Management game presents a challenging manufacturing scenario where agents compete for customer demand and supplies needed to produce the demanded products. The entry of North Carolina State University, PackaTAC, is a relatively simple agent that plays a conservative, low-risk strategy. Its aim is to never bid on more orders than it can handle, while maintaining low inventory levels and aspiring to full factory utilization. The agent relies on the fact that it will have ten opportunities to win contracts for a given production day, and constantly adjusts its profit margins to track the market prices. Its low risk approach was chosen to combat the mutually destructive strategies that were emerging during the qualifying rounds. Despite PackaTAC's simple approach, it performed quite well in the 2003 competition held at the International Joint Conference on Artificial Intelligence in Acapulco.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
ARUNACHALAM, R., ERIKSSON, J., FINNE, N., JANSON, S., AND SADEH, N. 2003. The tac supply chain management game. Tech. rep., Swedish Institute for Computer Science. http://www.sics.se/tac/TAC03 spec.pdf.
 
2
CHENG, S.-F., LEUNG, E., LOCHNER, K. M., O'MALLEY, K., REEVES, D. M., SCHVARTZMAN, L. J., AND WELLMAN, M. P. 2002. Walverine: A walrasian trading agent. Tech. rep., University of Michigan. http://ai.eecs.umich.edu/people/wellman/pubs/walverine02.html.
 
3
DUGUAY, F.-O., KELLER, P., AND WAHAB, M. 2003. Tac/scm '03: Redagent team. Presentation slides.
 
4
ESTELLE, J., VOROBEYCHIK, Y., WELLMAN, M. P., SINGH, S., KIEKINTVELD, C., AND SONI, V. 2003. Strategic interaction in a supply chain game. Tech. rep., University of Michigan. http://ai.eecs.umich.edu/people/wellman/pubs/dm03evwsks.html.
 
5
WELLMAN, M. P., REEVES, D. M., LOCHNER, K. M., , AND VOROBEYCHIK, Y. 2002. Price prediction in a trading agent competition. Tech. rep., University of Michigan. http://ai.eecs.umich.edu/people/wellman/pubs/ppredict02.html.

CITED BY  7

Collaborative Colleagues:
Erik Dahlgren: colleagues
Peter R. Wurman: colleagues