The Netlogo-Based Dynamic Model for the Teaching

Longbin Jiang, Chun-xiao Zhao
{"title":"The Netlogo-Based Dynamic Model for the Teaching","authors":"Longbin Jiang, Chun-xiao Zhao","doi":"10.1109/HIS.2009.121","DOIUrl":null,"url":null,"abstract":"This paper is to understand the dynamics of teaching behaviors based on complex adaptive system theory and methods of modeling. Due to the complexity and indetermination of complex systems, it is difficult to study the complex systems with the traditional reductive theory. The agent-based computer simulation is approved in the paper. Because classical interactions only among pre-set behavioral models may limit the capability to explore all possible evolution patterns, to tackle this issue, we introduce participating method to the MAS model, propose participator MAS(P-MAS)modeling method. In order to support this new approach, we introduce the concept and framework of artificial classroom (AC) for the first time by employing artificial societies. By adopting the bottom-up modeling technique and MAS model, the innovative dynamic model of AC is built. We have given a system structure of AC, design and implement an AC based on TCP/IP. The AC is currently being developed in NetLogo/HubNet. It provides a good tool to study classroom behaviors.","PeriodicalId":414085,"journal":{"name":"2009 Ninth International Conference on Hybrid Intelligent Systems","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Ninth International Conference on Hybrid Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HIS.2009.121","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

This paper is to understand the dynamics of teaching behaviors based on complex adaptive system theory and methods of modeling. Due to the complexity and indetermination of complex systems, it is difficult to study the complex systems with the traditional reductive theory. The agent-based computer simulation is approved in the paper. Because classical interactions only among pre-set behavioral models may limit the capability to explore all possible evolution patterns, to tackle this issue, we introduce participating method to the MAS model, propose participator MAS(P-MAS)modeling method. In order to support this new approach, we introduce the concept and framework of artificial classroom (AC) for the first time by employing artificial societies. By adopting the bottom-up modeling technique and MAS model, the innovative dynamic model of AC is built. We have given a system structure of AC, design and implement an AC based on TCP/IP. The AC is currently being developed in NetLogo/HubNet. It provides a good tool to study classroom behaviors.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于网络语言的动态教学模型
本文是基于复杂适应系统理论和建模方法来理解教学行为的动态性。由于复杂系统的复杂性和不确定性,用传统的还原理论来研究复杂系统是很困难的。本文对基于智能体的计算机仿真进行了验证。由于传统的行为模型之间的相互作用限制了探索所有可能的进化模式的能力,为了解决这一问题,我们将参与方法引入到MAS模型中,提出了参与者MAS(P-MAS)建模方法。为了支持这种新方法,我们首次引入了人工课堂(AC)的概念和框架。采用自底向上建模技术和MAS模型,建立了交流系统的创新动态模型。给出了交流系统的系统结构,设计并实现了一个基于TCP/IP的交流系统。AC目前正在NetLogo/HubNet中开发。它为研究课堂行为提供了一个很好的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A New Intelligent Authorization Agent Model in Grid Backing up Truck Control Automatically Based on LOS Study on Generation Companies' Bidding Strategy Based on Hybrid Intelligent Method Sentence Features Fusion for Text Summarization Using Fuzzy Logic Available Bandwidth Estimation in IEEE 802.11 Ad Hoc Networks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1