Theory and Practice of Application of Artificial Intelligence Methods
- 作者: Sokolov I.1
-
隶属关系:
- Federal Research Center Computer Science and Control
- 期: 卷 89, 编号 2 (2019)
- 页面: 115-119
- 栏目: Scientific Session of the General Meeting of the Russian Academy of Sciences
- URL: https://journals.rcsi.science/1019-3316/article/view/179196
- DOI: https://doi.org/10.1134/S1019331619020205
- ID: 179196
如何引用文章
详细
Artificial intelligence is an interdisciplinary scientific area, which originated about 60 years ago at the interface of psychology, linguistics, mathematical methods, and computer sciences. This basically experimental science has today developed several methods of its own: knowledge representation, modeling of reasoning and behavior, and text and data mining. New independent scientific and applied disciplines have originated within the framework of artificial intelligence: nonmonotonic and descriptive logics, heuristic programming, expert systems, and knowledge-based programming technologies. Interest in artificial intelligence, having increased in recent years, is associated with the development of new promising technologies based on the above methods, in particular, knowledge discovery in databases (or, as they say today, machine learning), natural language processing, self-contained unpiloted intelligent systems, and hybrid human–machine intelligence.
作者简介
I. Sokolov
Federal Research Center Computer Science and Control
编辑信件的主要联系方式.
Email: isokolov@ipiran.ru
俄罗斯联邦, Moscow