系统仿真学报 ›› 2021, Vol. 33 ›› Issue (4): 763-772.doi: 10.16182/j.issn1004731x.joss.20-0637

• 专栏:仿真学科知识体系 • 上一篇    下一篇

仿真学科知识领域构成研究

段红1, 邱晓刚1,2, 谢旭1, 鞠儒生1   

  1. 1.国防科技大学 系统工程学院,湖南 长沙 410073;
    2.中国人民解放军31002部队,北京 100094
  • 收稿日期:2020-08-29 修回日期:2020-10-08 出版日期:2021-04-18 发布日期:2021-04-14
  • 作者简介:段红(1969-),女,博士,副教授,研究方向为系统仿真,平行应急管理。E-mail:726892330@qq.com

Study on Composition of Simulation Discipline Knowledge Areas

Duan Hong1, Qiu Xiaogang1,2, Xie Xu1, Ju Rusheng1   

  1. 1. College of Systems Engineering, National University of Defense Technology, Changsha 410073, China;
    2. The PLA's 31002 Unit, Beijing 100094, China
  • Received:2020-08-29 Revised:2020-10-08 Online:2021-04-18 Published:2021-04-14

摘要: 以软件工程、自动化等为代表的许多学科都梳理形成了自己的知识领域,以此构建学科知识体系,指导学科教学和科学研究。从知识领域角度描述仿真知识体系的构成,对于仿真工程教育和仿真科技发展具有重要作用。以知识领域、知识单元和知识点3层结构来构建仿真学科知识体系;在综述了学科知识体系作用、研究现状基础上,针对仿真教学的需要,提出了一种仿真学科知识领域的构成,根据知识领域的成熟度,区分为基本知识领域和前沿知识领域2大部分;对各基本知识领域的内涵进行了简要阐述,梳理了知识单元;探讨了仿真学科前沿的知识领域。

关键词: 仿真学科, 知识工程, 知识体系, 知识领域, 知识单元

Abstract: Many disciplines, such as Software Engineering, Automation, have sorted out and formed their own knowledge areas and constructed their Body of Knowledge to steer teaching and study efforts. Describing the composition of Modeling and Simulation body of knowledge from the perspective of knowledge area plays an important role in the simulation engineering education and the development of simulation technology. According to the needs of simulation teaching, the body of knowledge of simulation discipline is divided into three levels, knowledge area, knowledge unit and knowledge topic. On the basis of reviewing the current status of the research and the role of body of knowledge, a composition of knowledge areas of simulation discipline is proposed, which is divided into basic knowledge domain and frontier knowledge domain according to the degree of mature of knowledge areas. The meaning of each basic knowledge area is briefly described and its knowledge units are sorted out. The frontier knowledge domain of simulation discipline is discussed.

Key words: modeling and simulation discipline, knowledge engineering, body of knowledge, knowledge area, knowledge unit

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