智能系统学报2026，Vol.21Issue(2)：510-518,9.DOI:10.11992/tis.202412005
矛盾问题求解的可拓智能原理
The principle of extension intelligence for solving contradictory problems
摘要
Abstract
The development of human society is accompanied by ubiquitous contradictory problems.However,the cur-rent 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 informa-tion 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 di-mensions of the problem by comprehensively mining the latent information related to the problem,and then obtain in-novative 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 practic-ability of extension intelligence to solve contradictory problems by improving the information dimensions.关键词
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Key words
artificial intelligence/problem-solving/extenics/extension intelligence/information dimensions/factor space/extension set/basic-element model分类
信息技术与安全科学引用本文复制引用
李兴森,孙峻文,刘仿尧,杨振昊..矛盾问题求解的可拓智能原理[J].智能系统学报,2026,21(2):510-518,9.基金项目
国家自然科学基金项目(72071049) （72071049）
广东省自然科学基金项目(2024A1515011324). （2024A1515011324）
