Visualization and analysis methods for comparing agent behavior in TAC SCM

William Groves, John Collins, Maria L Gini

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publication8th International Joint Conference on Autonomous Agents and Multiagent Systems 2009, AAMAS 2009
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages1266-1267
Number of pages2
ISBN (Print)9781615673346
StatePublished - 2009
Event8th International Joint Conference on Autonomous Agents and Multiagent Systems 2009, AAMAS 2009 - Budapest, Hungary
Duration: May 10 2009May 15 2009

Publication series

NameProceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
Volume2
ISSN (Print)1548-8403
ISSN (Electronic)1558-2914

Other

Other8th International Joint Conference on Autonomous Agents and Multiagent Systems 2009, AAMAS 2009
CountryHungary
CityBudapest
Period5/10/095/15/09

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