A Multi-agent Framework for Research Supervision Management

被引：13

作者：

Jassim, Omar Abdullatif ^{[1
]}

Mahmoud, Moamin A. ^{[1
]}

Ahmad, Mohd Sharifuddin ^{[1
]}

机构：

[1] Univ Tenaga Nas, Coll Informat Technol, Ctr Agent Technol, Kajang, Selangor, Malaysia

来源：

DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE, 12TH INTERNATIONAL CONFERENCE | 2015年 / 373卷

关键词：

Task Management; Supervision Management; Research Development Activities; Intelligent Software Agents;

D O I：

10.1007/978-3-319-19638-1_15

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 propose an agent-based framework to enhance, control and manage the research supervision process. The proposed framework consists of three phases which are Research Development Activities, Performance and Completion Measurement, and Tracking Activities. The Research Development Activities phase proposes a number of activities to develop a research. These activities consist of two layers, abstract and detail. Performance and Completion Measurement phase works on measuring a student performance and expected completion date. The Tracking Activities phase presents the proposed activities to track and trigger a student's tasks. We discuss the components of the framework as possible implementation for a general application of research supervision management.

引用

页码：129 / 136

页数：8

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