Learning Styles Multi-agents Simulation

被引:0
|
作者
Juliana Hernandez, Emilcy [1 ]
Felipe Londono, Luis [1 ]
Giraldo, Mauricio [2 ]
Tabares, Valentina [1 ]
Dario Duque, Nestor [1 ]
机构
[1] Univ Nacl Colombia, Manizales, Colombia
[2] Univ Nacl Colombia Sede Medellin, Medellin, Colombia
关键词
D O I
10.1007/978-3-319-59930-4_30
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This article aims to give an approach of a simulation of students with their learning styles which going to receive a learning resources or learning objects (LO) from the teacher and the students simulated it going to change their behavior according to the LO received. The multi-agent system is basing in some rules in order to calculate the best behavior of the student's group. To obtain the behavior it use a set of rules that was develop and previously developed works.
引用
收藏
页码:325 / 328
页数:4
相关论文
共 50 条
  • [1] Robust Collaborative Learning by Multi-Agents
    Balasingam, B.
    Pattipati, K.
    Levchuck, G.
    Romano, J. C.
    [J]. 2015 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE FOR SECURITY AND DEFENSE APPLICATIONS (CISDA), 2015, : 183 - 187
  • [2] Multi-agents and learning: Implications for Webusage mining
    Lotfy, Hewayda M. S.
    Khamis, Soheir M. S.
    Aboghazalah, Maie M.
    [J]. JOURNAL OF ADVANCED RESEARCH, 2016, 7 (02) : 285 - 295
  • [3] Simulation study on regulation effects based on Multi-agents
    Zheng, Wen
    Jin, Xia
    Guo, Huan
    [J]. MECHATRONICS ENGINEERING, COMPUTING AND INFORMATION TECHNOLOGY, 2014, 556-562 : 5417 - +
  • [4] Multi-Agents Model and Simulation for the Evolution of Industrial Clusters
    Yang, Yajuan
    Niu, Wenxue
    [J]. JOURNAL OF COMPUTERS, 2013, 8 (02) : 326 - 333
  • [5] The Simulation Study Based on Multi-agents of Mobile Market
    Zheng Wen
    Jin Xia
    Zhang Bo
    [J]. SMART MATERIALS AND INTELLIGENT SYSTEMS, PTS 1 AND 2, 2011, 143-144 : 433 - +
  • [6] Research on Simulation of Multi-agents Competition Model with Negotiation
    Wu, Liqiao
    Yu, Chunyan
    Wang, Hongshu
    [J]. LIFE SYSTEM MODELING AND INTELLIGENT COMPUTING, PT I, 2010, 97 : 92 - 99
  • [7] Optimization algorithm using multi-agents and reinforcement learning
    Kobayashi, Y
    Aiyoshi, E
    [J]. CEC2004: PROCEEDINGS OF THE 2004 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2, 2004, : 63 - 68
  • [8] A Shaped-Q Learning for Multi-Agents Systems
    Hwang, Kao-Shing
    Jiang, Wei-Cheng
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2017, : 2024 - 2027
  • [9] A review of research on reinforcement learning algorithms for multi-agents
    Hu, Kai
    Li, Mingyang
    Song, Zhiqiang
    Xu, Keer
    Xia, Qingfeng
    Sun, Ning
    Zhou, Peng
    Xia, Min
    [J]. NEUROCOMPUTING, 2024, 599
  • [10] A framework for service enterprise workflow simulation with multi-agents cooperation
    Tan, Wenan
    Xu, Wei
    Yang, Fujun
    Xu, Lida
    Jiang, Chuanqun
    [J]. ENTERPRISE INFORMATION SYSTEMS, 2013, 7 (04) : 523 - 542