An Agent-Based Architecture for the Decision Support Process

被引：0

作者：

Pellicer, Maria A. ^{[1
]}

Borrajo, M. Lourdes ^{[2
]}

机构：

[1] Univ Burgos, Dept Ingn Civil, Burgos, Spain

[2] Univ Vigo, Dept Informat, Vigo, Spain

来源：

INTERNATIONAL SYMPOSIUM ON DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE 2008 | 2009年 / 50卷

关键词：

Agents Technology; Case Based Reasoning; Maximum Likelihood Hebbian Learning; NETWORKS; PURSUIT; SYSTEM;

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：

Firms require a control mechanism that facilitate the analysis of work carried out in changing environments, such as finance. A tool for the decision support process has been developed based on a multi-agent system that incorporates a case-based reasoning system. The case-based reasoning system automates the process of case indexing and retrieval by means of a Maximum Likelihood Hebbian Learning-based method. The multi-agent system has been tested within ten small and medium companies and the results obtained have been very satisfactory.

引用

页码：682 / +

页数：4

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