Multi-layered learner knowledge model for evaluative multi-agent simulation

Kiyota Hashimoto, K. Takeuchi
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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.
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评价型多智能体仿真的多层学习者知识模型
各种各样的学习者支持系统已经被提出和应用,其评价无论是在发展阶段还是在使用阶段都取决于学习者,这是不可避免的,但必须尽可能避免失败。为此,需要使用计算机模拟,但相关知识的主体、表示学习阶段的模型和学习者数据是必要的。在这个原型研究中,我们提出了一种采用多层多智能体仿真的新方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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