The zero/one multiple knapsack problem and genetic algorithms
SAC '94 Proceedings of the 1994 ACM symposium on Applied computing
Trading Agents Competing: Performance, Progress, and Market Effectiveness
IEEE Intelligent Systems
The supply chain trading agent competition
Electronic Commerce Research and Applications
An analysis of the 2004 supply chain management trading agent competition
AMEC'05 Proceedings of the 2005 international conference on Agent-Mediated Electronic Commerce: designing Trading Agents and Mechanisms
Agent Mertacor: A robust design for dealing with uncertainty and variation in SCM environments
Expert Systems with Applications: An International Journal
The CrocodileAgent: Designing a Robust Trading Agent for Volatile E-Market Conditions
KES-AMSTA '07 Proceedings of the 1st KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
The CrocodileAgent 2005: an overview of the TAC SCM agent
TADA/AMEC'06 Proceedings of the 2006 AAMAS workshop and TADA/AMEC 2006 conference on Agent-mediated electronic commerce: automated negotiation and strategy design for electronic markets
The crocodileagent: research for efficient agent-based cross-enterprise processes
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part I
Agent-assisted supply chain management: Analysis and lessons learned
Decision Support Systems
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The TAC SCM tournament is moving into its fourth year. In an effort to track agent progress, we present a benchmark market efficiency comparison for the tournament, in addition to prior measures of agent competency through customer bidding. Using these benchmarks we find statistically significant increases in intratournament market efficiency, whereas agents are generally decreasing in manufacturer market power. We find that agent market share and bid efficiency have increased while the variance of average sales prices has been significantly reduced. Additionally, we test for a statistical relationship between agent profits and the bullwhip effect.