[1]李兴森,孙峻文,刘仿尧,等.矛盾问题求解的可拓智能原理[J].智能系统学报,2026,21(2):510-518.[doi:10.11992/tis.202412005]
LI Xingsen,SUN Junwen,LIU Fangyao,et al.The principle of extension intelligence for solving contradictory problems[J].CAAI Transactions on Intelligent Systems,2026,21(2):510-518.[doi:10.11992/tis.202412005]
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《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
21
期数:
2026年第2期
页码:
510-518
栏目:
学术论文—人工智能基础
出版日期:
2026-03-05
- Title:
-
The principle of extension intelligence for solving contradictory problems
- 作者:
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李兴森1, 孙峻文2, 刘仿尧3, 杨振昊1,2
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1. 广东工业大学 可拓学与创新方法研究所, 广东 广州 510006;
2. 广东工业大学 机电工程学院, 广东 广州 510006;
3. 西南民族大学 计算机与人工智能学院, 四川 成都 610041
- Author(s):
-
LI Xingsen1, SUN Junwen2, LIU Fangyao3, YANG Zhenhao1,2
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1. Institute of Extenics and Innovation Methods, Guangdong University of Technology, Guangzhou 510006, China;
2. College of Electromechanical Engineering, Guangdong University of Technology, Guangzhou 510006, China;
3. College of Computer Science and Artificial Intelligence, Southwest Minzu University, Chengdu 610041, China
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- 关键词:
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人工智能; 矛盾问题处理; 可拓学; 可拓智能; 信息维度; 因素空间; 可拓集合; 基元模型
- Keywords:
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artificial intelligence; problem-solving; extenics; extension intelligence; information dimensions; factor space; extension set; basic-element model
- 分类号:
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TP18; B80
- DOI:
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10.11992/tis.202412005
- 摘要:
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人类社会发展中伴随着无处不在的矛盾问题,但目前矛盾问题处理和人工智能的研究主要解决确定性的、不矛盾的问题。文章在可拓学智能化解决矛盾问题的研究基础上,提出信息社会大数据环境下,很多新型矛盾问题的产生在于主体信息维度的认知局限性,而解决矛盾问题的关键就在于提升思考的信息维度;论证了可拓智能解决矛盾问题的机理,综合基元建模、共轭分析和拓展变换等方法,通过挖掘矛盾问题中隐含的潜信息并系统性拓展来提升问题的信息维度,进而通过变换提出化矛盾为相容的创新性解决方案;以中国寓言故事“自相矛盾”问题为例,通过对问题信息维度的拓展提出自圆其说的解释,验证了可拓智能提高信息维度解决矛盾问题的有效性和实用性。
- Abstract:
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The development of human society is accompanied by ubiquitous contradictory problems. However, the current research of artificial intelligence mainly focuses on solving deterministic and non-contradictory problems. Based on the research on intelligent processing of contradiction problems in Extenics, this paper proposes a new direction that in the digital environment of AI, the solutions to many contradiction problems lie in the extension of the limited information dimensions, and the key to solving the contradiction problems is to improve the information dimensions. Based on the theory of Extenics, we present a systematic method by basic-element modeling for the problem, and extend the dimensions of the problem by comprehensively mining the latent information related to the problem, and then obtain innovative solutions. Finally, taking the problem of “Self-Contradictory” in Chinese fables as an example, we put forward a possible explanation by extending the information dimension of the problem, and verify the effectiveness and practicability of extension intelligence to solve contradictory problems by improving the information dimensions.
备注/Memo
收稿日期:2024-12-5。
基金项目:国家自然科学基金项目(72071049);广东省自然科学基金项目(2024A1515011324).
作者简介:李兴森,教授,中国人工智能学会理事,中国创造学会理事。主要研究方向为可拓学与人工智能,获国家发明专利授权3项,发表学术论文78篇,出版专著3部。E-mail:lixingsen@126.com。;孙峻文,硕士研究生,主要研究方向为可拓智能与质量管理。获国家发明专利授权1项,发表学术论文4篇。E-mail:490810037@qq.com。;刘仿尧,助理研究员,四川省科技厅“科技特派员”。获国家发明专利授权1项,发表学术论文20余篇,出版专著2部。E-mail:fliu028@163.com。
通讯作者:李兴森. E-mail:lixingsen@126.com
更新日期/Last Update:
1900-01-01