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2004 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'04)
Data-Driven Agent-Based Simulation of Commercial Barter Trade
Beijing, China
September 20-September 24
ISBN: 0-7695-2101-0
ASCII Text
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Peter Haddawy, Khaimook Dhananaiyapergse, Yongyos Kaewpitakkun, Thai Bui, "Data-Driven Agent-Based Simulation of Commercial Barter Trade," Intelligent Agent Technology, IEEE / WIC / ACM International Conference on, pp. 218-224, 2004 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'04), 2004.
 
 
BibTex
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@article{ 10.1109/IAT.2004.1342947,
author = {Peter Haddawy and Khaimook Dhananaiyapergse and Yongyos Kaewpitakkun and Thai Bui},
title = {Data-Driven Agent-Based Simulation of Commercial Barter Trade},
journal ={Intelligent Agent Technology, IEEE / WIC / ACM International Conference on},
volume = {0},
year = {2004},
isbn = {0-7695-2101-0},
pages = {218-224},
doi = {http://doi.ieeecomputersociety.org/10.1109/IAT.2004.1342947},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Intelligent Agent Technology, IEEE / WIC / ACM International Conference on
TI - Data-Driven Agent-Based Simulation of Commercial Barter Trade
SN - 0-7695-2101-0
SP218
EP224
A1 - Peter Haddawy,
A1 - Khaimook Dhananaiyapergse,
A1 - Yongyos Kaewpitakkun,
A1 - Thai Bui,
PY - 2004
KW - null
VL - 0
JA - Intelligent Agent Technology, IEEE / WIC / ACM International Conference on
ER -
 
Peter Haddawy, CSIM Program, Asian Institute of Technology
Khaimook Dhananaiyapergse, CSIM Program, Asian Institute of Technology
Yongyos Kaewpitakkun, CSIM Program, Asian Institute of Technology
Thai Bui, CSIM Program, Asian Institute of Technology
In this paper we present TRADES, a data-driven agent-based simulator for barter trade exchanges. We provide an overview of the barter trade exchange industry, focusing on the operational aspects of trade exchanges and motivating the design of our simulator. Our simulator is built by learning probabilistic models of company purchase behavior using transaction history data from an operating trade exchange. We quantitatively evaluate the accuracy of our simulator by comparing simulated trade to the transaction data, showing a high degree of agreement between the two. We also demonstrate use of the simulator to evaluate the effectiveness of a particular trade brokering strategy.
Citation:
Peter Haddawy, Khaimook Dhananaiyapergse, Yongyos Kaewpitakkun, Thai Bui, "Data-Driven Agent-Based Simulation of Commercial Barter Trade," iat, pp.218-224, 2004 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'04), 2004
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