A market-pressure-based performance evaluator for TAC-SCM

Authors:
Brett Borghetti;Eric Sodomka;Maria Gini;John Collins
Affiliations:
Dept of Computer Science and Engineering, University of Minnesota, Minneapolis, MN;Dept of Computer Science and Engineering, University of Minnesota, Minneapolis, MN;Dept of Computer Science and Engineering, University of Minnesota, Minneapolis, MN;Dept of Computer Science and Engineering, University of Minnesota, Minneapolis, MN
Venue:
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
Year:
2006

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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