Abstract
We propose a novel method to characterize the performance of autonomous agents in the Trading Agent Competition for Supply Chain Management (TAC-SCM). We create a suite of testing tools that reduce the variability of TAC-SCM games, make them replayable, and generate specific market conditions under which autonomous trading agents can be tested. Using these tools, we show how developers can inspect their agents to reveal and correct undesirable behaviors that might otherwise have gone undiscovered. We also discuss how these tools can be used to improve overall trading agent performance in future competitions.
Partial funding provided by NSF under grant IIS-0414466. We would like to thank the entire University of Minnesota Trading Agent Research Group for their help and support with this effort.
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References
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Borghetti, B., Sodomka, E., Gini, M., Collins, J. (2007). A Market-Pressure-Based Performance Evaluator for TAC-SCM. In: Fasli, M., Shehory, O. (eds) Agent-Mediated Electronic Commerce. Automated Negotiation and Strategy Design for Electronic Markets. TADA AMEC 2006 2006. Lecture Notes in Computer Science(), vol 4452. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72502-2_13
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DOI: https://doi.org/10.1007/978-3-540-72502-2_13
Publisher Name: Springer, Berlin, Heidelberg
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