基于创新应用驱动的不确定性人工智能教学新进展  

New Development of Uncertain Artificial Intelligence Teaching Based on Innovative Application Driven

作　　者：吴振宇[1] 祝智敏 Wu Zhenyu;Zhu Zhimin(College of Internet of Things,Nanjing University of Posts and Telecommunications,Nanjing Jiangsu 210003,China;People's Posts and Telecommunications Press,Beijing 100164,China)

机构地区：[1]南京邮电大学物联网学院,江苏南京210003 [2]人民邮电出版社,北京100164

出　　处：《信息与电脑》2020年第17期225-227,共3页Information & Computer

摘　　要：培养人工智能领域人才是推动我国人工智能技术发展的重要动力,然而在人工智能教学中存在理论性强、内容难于理解等问题,导致学生对知识点的理解不清晰、掌握不牢。基于此,笔者总结了《不确定性人工智能》课程教学过程中的经验,并介绍了如何通过创新应用的方法提升学生的思考与实践能力,希望能够为相关研究提供借鉴。Training talents in the field of artificial intelligence is an important driving force to promote the development of artificial intelligence technology in China.However,there are some problems in the teaching of artificial intelligence,such as strong theory,difficult to understand the content,which leads to students'unclear understanding of knowledge points and weak grasp.Based on this,the author summarizes the experience in the teaching process of"uncertain artificial intelligence",and introduces how to improve students'thinking and practical ability through innovative application methods,hoping to provide reference for related research.

关 键 词：不确定性人工智能 创新应用 人工智能教学 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]