Abstract
The Trading Agent Competition (TAC) simulates a challenging game environment where competing agents engage in complex decision-making activities with purpose of maximizing their profits. One of the TAC competitive scenarios is Supply Chain Management (SCM) where six trading agents compete by buying components, assembling PCs from these components and selling the assembled PCs to customers. In this paper, we briefly describe the TAC SCM environment and present the main features of the CrocodileAgent, our entry in the 2005 TAC SCM Competition. The agent’s performances in the 2005 TAC SCM, as well as in a series of controlled experiments, are discussed.KeywordsSupply Chain ManagementReserve PriceCustomer OrderOffer PriceBullwhip EffectThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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