DocumentCode :
3475197
Title :
Multi-layered learner knowledge model for evaluative multi-agent simulation
Author :
Hashimoto, Kiyota ; Takeuchi, Kazuhiro
Author_Institution :
Sch. of Humanities & Social Sci., Osaka Prefecture Univ., Sakai, Japan
fYear :
2011
fDate :
27-30 Sept. 2011
Firstpage :
270
Lastpage :
275
Abstract :
Various kinds of learner support systems have been proposed and employed, and their evaluation, whether it is at a developmental stage or at the employing stage, depends on learners, which is inevitable but which failure must be avoided as much as possible. For that purpose, it is desirable to employ a computer simulation, but the body of relevant knowledge, the model representing learning stages, and learner data are necessary. In this prototypical study, we propose a novel method to employ a multi-layered multi-agent simulation.
Keywords :
learning (artificial intelligence); multi-agent systems; simulation; developmental stage; employing stage; evaluative multiagent simulation; learner data; learner support systems; learning stage representation model; multilayered learner knowledge model; relevant knowledge; Coherence; Computational modeling; Grammar; Organizations; learner simulation; machine learning; multi-layered multi-agent; system evaluation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Awareness Science and Technology (iCAST), 2011 3rd International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4577-0887-9
Type :
conf
DOI :
10.1109/ICAwST.2011.6163154
Filename :
6163154
Link To Document :
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