Design an Intelligent Problem Solver in Mathematics based on Integrated-Knowledge Model

H. Nguyen, Linh Nguyen, Nha P. Tran, Van-Thanh Nguyen-Le, Sang Vu
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引用次数: 2

Abstract

Knowledge engineering is one of AI technologies that play a principal role to design intelligent systems. Intelligent Problem Solver (IPS) in education is a useful intelligent system supporting e-learning in the fourth industrial revolution. Discrete Mathematics is one of important courses for the engineering curriculum at universities. In this paper, a knowledge model, which integrates the knowledge of operators and function intellectual, is proposed. This model is used to organize the knowledge base of an IPS in Discrete Mathematics. This system can automatically solve some common exercises with human-readable solutions, especially their reasoning is pedagogy and similar to the way of students' thinking. The experimental results show that the built system is emerging to evolve an intelligent system as a tutor how to solve problems in this course.
基于集成知识模型的数学智能问题求解器设计
知识工程是设计智能系统的主要人工智能技术之一。教育领域的智能问题解决器(Intelligent Problem Solver, IPS)是第四次工业革命时代支持电子学习的有用智能系统。离散数学是高校工科课程的重要课程之一。本文提出了一种将算子知识与功能知识相结合的知识模型。该模型用于离散数学中IPS知识库的组织。该系统可以自动解决一些常见的习题,并提供人类可读的解决方案,特别是其推理是教育学的,与学生的思维方式相似。实验结果表明,所构建的系统正在逐渐演变为一个智能系统,作为如何解决课程问题的导师。
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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