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An Optimized Course-Offering Approach Based on Multi-Agent Negotiation

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成果类型:
会议论文
作者:
Lei Niu;Litian Huang
作者机构:
[Litian Huang] Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China
[Lei Niu] Central China Normal University Wollongong Joint Institute, Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China
语种:
英文
关键词:
course offering determination;resource allocation;multi-agent system;multi-agent negotiation
年:
2021
页码:
673-680
会议名称:
2021 IEEE International Conference on Engineering, Technology & Education (TALE)
会议论文集名称:
2021 IEEE International Conference on Engineering, Technology & Education (TALE)
会议时间:
05 December 2021
会议地点:
Wuhan, Hubei Province, China
出版者:
IEEE
ISBN:
978-1-6654-3688-5
基金类别:
10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 62006090) 10.13039/501100012226-Fun-damental Research Funds for the Central Universities, CCNU (Grant Number: 3110120001)
机构署名:
本校为第一机构
院系归属:
伍伦贡联合研究院
摘要:
Today, many educational institutions still use man-ual methods for Course Offering Determination (COD) problems, leading to many problems such as increased workload and time conflict. The COD problem is a vital research topic because the preferences of both students and the educational institute as well as various resource constraints should be satisfied. By adopting the advantages of the Multi-Agent System (MAS), this paper proposes a course-offering approach, which is responsible for selecting the courses to be offered in the upcoming semester for a group of students. In the course-offering ...

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