[1]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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The principle of extension intelligence for solving contradictory problems

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 21 Number of periods: 2026 2 Page number: 510-518 Column: 学术论文—人工智能基础 Public date: 2026-03-05
Title:
The principle of extension intelligence for solving contradictory problems
Author(s):
LI Xingsen1;  SUN Junwen2;  LIU Fangyao3;  YANG Zhenhao1; 2
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
Keywords:
artificial intelligence; problem-solving; extenics; extension intelligence; information dimensions; factor space; extension set; basic-element model
CLC:
TP18; B80
DOI:
10.11992/tis.202412005
Abstract:
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.
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