An Analysis of the 2004 Supply Chain Management Trading Agent Competition

2006 ◽  
pp. 99-112 ◽  
Author(s):  
Christopher Kiekintveld ◽  
Yevgeniy Vorobeychik ◽  
Michael P. Wellman
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Chain Management ◽  
Trading Agent

Strategies in supply chain management for the Trading Agent Competition

2007 ◽  
Vol 6 (4) ◽  
pp. 369-382 ◽  
Author(s):  
Yain-Whar Si ◽  
David Edmond ◽  
Marlon Dumas ◽  
Chan U. Chong
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Chain Management ◽  
Trading Agent

scholarly journals Pushing the Limits of Rational Agents: The Trading Agent Competition for Supply Chain Management

AI Magazine ◽  
2010 ◽  
Vol 31 (2) ◽  
pp. 63 ◽  
Author(s):  
John Collins ◽  
Wolfgang Ketter ◽  
Norman Sadeh
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Global Market ◽  
Prior Work ◽  
Chain Management ◽  
Rational Agents ◽  
The Past ◽  
Trading Agent ◽  
Internal Operations ◽  
Made In

Over the years, competitions have been important catalysts for progress in Artificial Intelligence. We describe one such competition, the Trading Agent Competition for Supply Chain Management (TAC SCM). We discuss its significance in the context of today’s global market economy as well as AI research, the ways in which it breaks away from limiting assumptions made in prior work, and some of the advances it has engendered over the past six years. TAC SCM requires autonomous supply chain entities, modeled as agents, to coordinate their internal operations while concurrently trading in multiple dynamic and highly competitive markets. Since its introduction in 2003, the competition has attracted over 150 entries and brought together researchers from AI and beyond in the form of 75 competing teams from 25 different countries.

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