[1]崔铁军,李莎莎.人工系统中数据–因素–算力–算法作用及相互关系研究[J].智能系统学报,2022,17(4):772-779.[doi:10.11992/tis.202101033]
CUI Tiejun,LI Shasha.Function and relationship of data, factor, computing power, and algorithm in the artificial system[J].CAAI Transactions on Intelligent Systems,2022,17(4):772-779.[doi:10.11992/tis.202101033]
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《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
17
期数:
2022年第4期
页码:
772-779
栏目:
学术论文—人工智能基础
出版日期:
2022-07-05
- Title:
-
Function and relationship of data, factor, computing power, and algorithm in the artificial system
- 作者:
-
崔铁军1, 李莎莎2
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1. 辽宁工程技术大学 安全科学与工程学院,辽宁 葫芦岛 125105;
2. 辽宁工程技术大学 工商管理学院,辽宁 葫芦岛 125105
- Author(s):
-
CUI Tiejun1, LI Shasha2
-
1. College of Safety Science and Engineering, Liaoning Technical University, Huludao 125105, China;
2. School of business administration, Liaoning Technical University, Huludao 125105, China
-
- 关键词:
-
人工智能; 人工系统; 数据; 算力; 算法; 因素; 作用; 关系研究
- Keywords:
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artificial intelligence; artificial system; data; computing power; algorithm; factor; effect; relationship research
- 分类号:
-
TP18
- DOI:
-
10.11992/tis.202101033
- 摘要:
-
目前的研究认为人工智能的核心是数据、算法和算力,但因素在形成人工智能系统过程中是必不可少的。论文针对人工系统中的数据、算力、算法和因素的各自作用,及其相互关系进行了探讨和论证。从人工系统的内涵出发,描述人工系统的发展过程,认为目前和今后的人工系统必将具有人工智能特征,而实现人工系统要充分考虑上述四方面的相互作用。研究结果表明:数据是人工系统辨识因素的基础,也是形成算法的基础;因素是人工系统控制自然系统的方法及算法所需变量;算法体现了因素与数据关系,可描述人工系统结构;算力是解算算法的能力,也需考虑数据和因素的特征。因此因素在人工系统建立过程中与数据、算法和算力具有相同的重要性。它们具有明显的作用关系,且普遍存在于各个学科,是形成各学科理论基础体系的关键。
- Abstract:
-
Current research suggests that the core of artificial intelligence is data, algorithms, and computing power. These factors are essential in the process of forming an artificial intelligence system. This paper discusses and demonstrates the respective functions of data, computing power, algorithm, and factors in the artificial system, as well as their mutual relations. This paper describes the development process of an artificial system, starting with the connotation of an artificial system, and holds that the current and future artificial system will have the characteristics of artificial intelligence and that the realization of an artificial system should fully consider the interaction of the above four aspects. The results show that: data is the basis of artificial system identification factors and also the basis of forming an algorithm; factors are the method of the artificial system controlling the natural system and the required variables of an algorithm; an algorithm reflects the relationship between factors and data and can describe the structure of an artificial system; computing power is the ability of an algorithm and also needs to consider the characteristics of data and factors. Therefore, in the process of establishing an artificial system, factors such as data, algorithm, and computing power are equally important. They have a clear functional relationship and generally exist in various disciplines. They are essential in forming the basic theoretical system of various disciplines.
备注/Memo
收稿日期:2021-01-27。
基金项目:国家自然科学基金项目(52004120);辽宁省教育厅科学研究经费项目(LJ2020QNL018); 辽宁省教育厅基本科研项目(LJKQZ2021157);辽宁工程技术大学学科创新团队项目(LNTU20TD-31)
作者简介:崔铁军,副教授,博士生导师,10余个安全、智能及矿业专委会委员,主要研究方向为安全科学理论、系统故障演化。主持国家自然科学基金、省部级项目多项及国家重点研发计划项目,授权专利25项。发表学术论文近200篇,专著10部,获国家科学技术学术著作出版基金,获中国百篇最具影响国内学术论文奖及协会省部级奖8项;李莎莎,副教授,中国人工智能学会终身会员,国家自然科学基金项目评审专家,主要研究方向为安全管理及系统可靠性。参与了空间故障树及因素空间理论的研究。主持国家自然科学基金及辽宁省教育厅项目,参与国家重点研发计划项目。近年以第一作者发表学术论文20篇,授权发明专利9项
通讯作者:崔铁军. E-mail:ctj.159@163.com
更新日期/Last Update:
1900-01-01