Agent bidding strategy and simulation in double auctions

被引：0
|
作者：
Ouyang, FR [1 ]
Wang, XJ [1 ]
Yang, H [1 ]
机构：
[1] Wuhan Univ, Inst Syst Engn, Wuhan 430071, Peoples R China
来源：
PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2004年
关键词：
double auction; software agent; bidding strategy; fuzzy set; e-commerce;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
As the highly autonomous software entity, agent has been used to implement complex systems. This paper develops two different bidding strategies that guide agent's buying and selling behavior in a double auction, and simulates auction market by using the Multi-Agent Development Kit and Matlab platforms. Through the comparison of simulation results under those different strategies, we find that the profit of agents using Fuzzy Logic Strategy is more than that of agents using Evolution Bidding Strategy.
引用
收藏
页码：1836 / 1840
页数：5
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