Data-driven agent-based simulation of commercial barter trade

被引：0
|
作者：
Haddawy, P [1 ]
Dhananaiyapergse, K [1 ]
Kaewpitakkun, Y [1 ]
Bui, T [1 ]
机构：
[1] Asian Inst Technol, CSIM Program, Bangkok, Thailand
来源：
IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON INTELLIGENT AGENT TECHNOLOGY, PROCEEDINGS | 2004年
关键词：
D O I：
10.1109/IAT.2004.1342947
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：218 / 224
页数：7
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