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PackaTAC: a conservative trading agent

PackaTAC: a conservative trading agent 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM SIGecom Exchanges Association for Computing Machinery

PackaTAC: a conservative trading agent

Dahlgren, Erik; Wurman, Peter R.
ACM SIGecom Exchanges , Volume 4 (3) – Feb 1, 2004
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Publisher
Association for Computing Machinery
Copyright
Copyright © 2004 by ACM Inc.
ISSN
1551-9031
DOI
10.1145/1120701.1120707
Publisher site
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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.

Journal

ACM SIGecom Exchanges – Association for Computing Machinery

Published: Feb 1, 2004

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