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.
['Ana Petric', 'Vedran Podobnik', 'Gordan Jezic']
The CrocodileAgent: Designing a Robust Trading Agent for Volatile E-Market Conditions