Open AccessPushing the Limits of Rational Agents: The Trading Agent Competition for Supply Chain Management
Author(s) -
Collins John,
Ketter Wolfgang,
Sadeh Norman
Publication year - 2010
Publication title -
ai magazine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.597
H-Index - 79
eISSN - 2371-9621
pISSN - 0738-4602
DOI - 10.1609/aimag.v31i2.2287
Subject(s) - competition (biology) , context (archaeology) , limiting , supply chain , industrial organization , supply chain management , business , work (physics) , computer science , marketing , engineering , mechanical engineering , ecology , paleontology , biology
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 more than 150 entries and brought together researchers from AI and beyond in the form of 75 competing teams from 25 different countries.