Interactive estimation of agent-based financial markets models: Modularity and learning

被引：0

作者：

Ecemis, Ihsan ^{[1
]}

Bonabeau, Eric ^{[1
]}

Ashburn, Trent ^{[1
]}

机构：

[1] CoalesiX, Cambridge, MA 02138 USA

来源：

GECCO 2005: GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, VOLS 1 AND 2 | 2005年

关键词：

agent-based modeling; interactive evolution;

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：

Building upon the interactive inversion method introduced by Ashburn and Bonabeau (2004), we show how to dramatically improve the results by exploiting modularity and by letting the computer learn user preferences.

引用

页码：1897 / 1904

页数：8

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