MASACAD: A connectionist approach to academic advising of students based on multi-agents

被引：0
|
作者：
Hamdi, MS [1 ]
机构：
[1] UAE Univ, Fac Sci, Dept Comp Sci, Al Ain, U Arab Emirates
来源：
ISAS/CITSA 2004: INTERNATIONAL CONFERENCE ON CYBERNETICS AND INFORMATION TECHNOLOGIES, SYSTEMS AND APPLICATIONS AND 10TH INTERNATIONAL CONFERENCE ON INFORMATION SYSTEMS ANALYSIS AND SYNTHESIS, VOL 1, PROCEEDINGS: COMMUNICATIONS, INFORMATION TECHNOLOGIES AND COMPUTING | 2004年
关键词：
multi-agents; information customization; e-learning; neural networks; academic advising;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The evolution of the Internet into the Global Information Infrastructure has lead to an explosion in the amount, of available information. Realizing the vision of distributed knowledge access in this scenario and its future evolution will need tools to customize the information space. In this paper we present MASACAD, a multi-agent system that learns to advise students by mining the Web and discuss important problems in relationship to information customization systems and smooth the way for possible solutions. The focus is on the "Advising Procedure" which is a component of MASACAD implemented using the back-propagation algorithm.
引用
收藏
页码：186 / 191
页数：6
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