矛盾问题求解的可拓智能原理OA

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.