A Multi-agent System that Searches for Learning Objects in Heterogeneous Repositories

被引：0
|
作者：
De la Prieta, Fernando [1 ]
Belen Gil, Ana [1 ]
机构：
[1] Univ Salamanca, Dept Informat & Automat, E-37008 Salamanca, Spain
来源：
TRENDS IN PRACTICAL APPLICATIONS OF AGENTS AND MULTIAGENT SYSTEMS | 2010年 / 71卷
关键词：
Multi-agent systems; Distributed Computing; e-learning; learning objects; repositories; Simple Query Interface; learning technology standards; web services;
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：
This paper presents the BRENHET application, which introduces a new concept in searching for educational resources by using a learning object paradigm that describes these resources. The application is composed of a complete agent-based architecture that implements the concept of federated search. It can search different repositories in parallel, and is based on abstraction layers between the repositories and the search clients.
引用
收藏
页码：355 / 362
页数：8
相关论文
共 50 条
  • [1] Multi-Agent System for Recommending Learning Objects in E-Learning Environments
    Almeida, Thais Oliveira
    de Magalhaes Netto, Jose Francisco
    Mota Lopes, Arcanjo Miguel
    [J]. 2021 IEEE FRONTIERS IN EDUCATION CONFERENCE (FIE 2021), 2021,
  • [2] SIMROAA Multi-Agent Recommendation System for Recommending Accessible Learning Objects
    Mourao, Andreza Bastos
    Magalhaes Netto, Jose Francisco
    [J]. 2019 IEEE FRONTIERS IN EDUCATION CONFERENCE (FIE 2019), 2019,
  • [3] SIMROAA Multi-Agent Recommendation System for Recommending Accessible Learning Objects
    Institute of Computing of the Federal University of Amazonas , State University of Amazonas , Post-Graduate Program in Informatics , Manaus, Brazil
    不详
    [J]. Proc. Front. Educ. Conf. FIE, 2019,
  • [4] Multi-agent System for Expert Evaluation of Learning Objects from Repository
    Tabares, Valentina
    Duque, Nestor
    Ovalle, Demetrio A.
    [J]. HIGHLIGHTS OF PRACTICAL APPLICATIONS OF AGENTS, MULTI-AGENT SYSTEMS, AND SUSTAINABILITY: THE PAAMS COLLECTION, PAAMS 2015, 2015, 524 : 320 - 330
  • [5] Multi-agent system for Knowledge-based recommendation of Learning Objects
    Rodriguez, Paula
    Duque, Nestor
    Ovalle, Demetrio
    [J]. ADCAIJ-ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL, 2015, 4 (01): : 80 - 89
  • [6] Learning on Multi-agent System
    Zuo, Guoyu
    Zhang, Hongwei
    Han, Guangsheng
    Li, Jia
    [J]. 2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 5406 - 5410
  • [7] Heterogeneous Skill Learning for Multi-agent Tasks
    Liu, Yuntao
    Li, Yuan
    Xu, Xinhai
    Dou, Yong
    Liu, Donghong
    [J]. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 35 (NEURIPS 2022), 2022,
  • [8] Experimental comparison of a heterogeneous learning multi-agent system with a homogeneous one
    Kawaishi, I
    Yamada, S
    Toyoda, J
    [J]. INFORMATION INTELLIGENCE AND SYSTEMS, VOLS 1-4, 1996, : 613 - 618
  • [9] Multi-agent Model for Hybrid Recommendation of Learning Objects
    Rodriguez Marin, Paula Andrea
    Tabares Morales, Valentina
    Ovalle Carranza, Demetrio Arturo
    Duque Mendez, Nestor Dario
    [J]. REVISTA VIRTUAL UNIVERSIDAD CATOLICA DEL NORTE, 2013, 40 : 96 - 110
  • [10] Robust circumnavigation of a heterogeneous multi-agent system
    Jaime González-Sierra
    Daniel Flores-Montes
    Eduardo Gamaliel Hernandez-Martinez
    Guillermo Fernández-Anaya
    Pablo Paniagua-Contro
    [J]. Autonomous Robots, 2021, 45 : 265 - 281
12345