TY - GEN
T1 - Visualization and analysis methods for comparing agent behavior in TAC SCM
AU - Groves, William
AU - Collins, John
AU - Gini, Maria L
N1 - Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.
PY - 2009
Y1 - 2009
N2 - We are targeting for analysis a complcx, 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.
AB - We are targeting for analysis a complcx, 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.
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M3 - Conference contribution
AN - SCOPUS:84883385444
SN - 9781615673346
T3 - Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
SP - 1266
EP - 1267
BT - 8th International Joint Conference on Autonomous Agents and Multiagent Systems 2009, AAMAS 2009
PB - International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
T2 - 8th International Joint Conference on Autonomous Agents and Multiagent Systems 2009, AAMAS 2009
Y2 - 10 May 2009 through 15 May 2009
ER -