Visualization and analysis methods for comparing agent behavior in TAC SCM

Authors:
William Groves;John Collins;Maria Gini
Affiliations:
University of Minnesota;University of Minnesota;University of Minnesota
Venue:
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Year:
2009

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Abstract

We are targeting for analysis a complex, multi-agent, repeated market simulation in which agents compete to maximize overall profit over a finite time horizon. The Trading Agent Competition for Supply Chain Management (TAC SCM), which has been run annually as a tournament for five years, is designed to model realistic supply chain and market mechanisms. In this paper, we introduce our extensible analysis framework that can be used for posing and answering new questions related to understanding market mechanisms and agent behavior.