DocumentCode
501768
Title
The Netlogo-Based Dynamic Model for the Teaching
Author
Jiang, Longbin ; Zhao, Chunxiao
Author_Institution
Software Coll., Shenyang Normal Univ., Shenyang, China
Volume
2
fYear
2009
fDate
12-14 Aug. 2009
Firstpage
49
Lastpage
53
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.
Keywords
intelligent tutoring systems; multi-agent systems; teaching; Netlogo-based dynamic model; agent-based computer simulation; artificial classroom; complex adaptive system theory; multiagent system; participator MAS participator MAS; reductive theory; teaching behavior; Adaptive systems; Artificial intelligence; Civil engineering; Computer architecture; Education; Educational institutions; Environmental economics; Humans; Hybrid intelligent systems; TCPIP; Hubnet; Netlogo; artificial classroom; multi-agent system; participator modeling method; teaching model;
fLanguage
English
Publisher
ieee
Conference_Titel
Hybrid Intelligent Systems, 2009. HIS '09. Ninth International Conference on
Conference_Location
Shenyang
Print_ISBN
978-0-7695-3745-0
Type
conf
DOI
10.1109/HIS.2009.121
Filename
5254418
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